IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 809 Comparison of Wind Energy Support Policy and Electricity Market Design in Europe, the United States, and Australia Néstor Aparicio, Member, IEEE, Iain MacGill, Member, IEEE, Juan Rivier Abbad, Member, IEEE, and Hector Beltran Abstract—This paper is intended to fill a gap in the current literature comparing and contrasting the experience of a number of European countries, U.S. states, and Australia with regard to wind energy support policy and electricity market design. As wind penetrations increase, the nature of these arrangements becomes an increasingly important determinant of how effectively and efficiently this generation is integrated into the electricity industry. The jurisdictions considered in this paper exhibit a range of wind support policy measures from feed-in tariffs to green certificates, and electricity industry arrangements including vertically integrated utilities, bilateral trading with net pools, as well as gross wholesale pool markets. We consider the challenges that various countries and states have faced as wind generation expanded and how they have responded. Findings include the limitations of traditional feed-in tariffs at higher wind penetrations because they shield wind project developers and operators from the implications of their generation on wider electricity market operation. With regard to market design, wind forecasting and predispatch requirements are particularly important for forward markets, whereas the formal involvement of wind in scheduling and ancillary services (balancing and contingencies) is key for real-time markets. Index Terms—Balancing markets, electricity market design, renewable energy policy, wind energy. I. INTRODUCTION P OLICY measures to support greater wind energy have had a demonstrated impact on its development in different jurisdictions around the world. Experience to date suggests that feed-in tariff (FIT) policies have been the most successful approach in rapidly expanding wind generation capacity, as demonstrated in countries including Denmark and Spain, which now have world leading wind energy penetrations [1]. This approach, however, may cause increasing integration challenges for the electricity industry as wind penetrations continue to Manuscript received August 30, 2011; revised June 08, 2012; accepted July 06, 2012. Date of publication September 10, 2012; date of current version September 14, 2012. This work was supported in part by the Universitat Jaume I under Grant P1·1A2008-11. N. Aparicio’s research visit to the Centre of Energy and Environmental Markets, which kindly offered him a visiting position, was supported by the Universitat Jaume I under Grant E-2008-06. N. Aparicio and H. Beltran are with the Area of Electrical Engineering, Universitat Jaume I, 12071 Castelló de la Plana, Spain (e-mail: [email protected]). I. MacGill is with the School of Electrical Engineering and Telecommunications and Centre for Energy and Environmental Markets, University of New South Wales, Sydney 2052, Australia (e-mail: [email protected]). J. Rivier Abbad is with Iberdrola Renovables, 28033 Madrid, Spain (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TSTE.2012.2208771 rise. The value of electricity within a power system varies over time, by location and subject to uncertainties reflecting, in aggregate, the changing costs and benefits of all generations and end-users. There have been worldwide moves over the last two decades to restructure electricity industries so that generators and end-users see price signals that more appropriately reflect these underlying industry economics. In their simplest form, FIT schemes can effectively shield project developers from such energy market signals through a fixed payment for each MWh of renewable generation independent of the value it actually provides for the industry at that time and location within the network [2]. Simplified tendering processes awarded to projects on the basis of lowest required government payments per MWh of renewable generation, which were adopted in countries such as Ireland and China, can have similar impacts. Other policy approaches such as renewable electricity production tax credits as seen in the U.S., and tradable green certificates as seen in a number of European countries and Australia, provide another approach for supporting wind energy. By comparison, these can ensure that wind farm developers and operators are still incentivized by electricity market “signals” to maximize overall industry value. The last few years has seen important developments in a number of countries that can help us better understand these issues. For example, Denmark and Spain have moved from a conventional FIT to a tariff premium above the electricity market price, the latter with additional arrangements that cap potential incomes to wind generators. The UK Renewables Obligation scheme now appears to be driving greater industry development, especially in offshore projects. The U.S. Federal production tax credits and state-based renewable portfolio standards have also driven very significant if sometimes boom–bust wind uptake, particularly in Texas with a quarter of that nation’s installed capacity. Table I shows the total wind energy installed capacity at the end of 2010 in the regions considered in this paper together with their proportion of electricity consumption now supplied by wind energy. Wind generation penetrations have now reached significant levels (from 10%–20%) in countries such as Denmark and Spain, and states such as South Australia and Iowa. This, in turn, has driven changes in electricity market design and wider policy arrangements in these countries in order to better manage the major contributions of highly variable and only somewhat predictable wind generation within their power systems. Formal participation by wind generation in electricity market dispatch and ancillary services may be limited to day-ahead markets 1949-3029/$31.00 © 2012 IEEE 810 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 TABLE I TOTAL INSTALLED WIND ENERGY CAPACITY AT THE END OF 2010 AND THE PROPORTION OF ELECTRICITY CONSUMPTION SUPPLIED IN 2010 FOR SELECTED COUNTRIES AND REGIONS or include real-time markets and even ancillary services such as voltage and frequency control. Improved wind forecasting systems have reduced prediction errors, whereas delayed gate closures and active demand participation have decreased the potential energy imbalances that have to be resolved by the industry. Other electricity market arrangements that may affect wind energy are charges due to imbalances settlement, additional income due to capacity recognition and rewards when wind generators reduce their output following orders from transmission system and market operators. This paper draws together some of the key experiences, challenges, and responses to growing wind penetrations in selected jurisdictions within Europe, the United States, and Australia. These are by no means the only countries from which lessons might be drawn, or where significant wind industry development is underway. However, they do represent important and interesting examples of some key current and possible future wind markets, and the range of support policy approaches and electricity market arrangements that may be employed to facilitate high wind penetrations. The selected states in Australia and the U.S. are those with the highest installed wind capacities. The paper is divided into four further sections. Section II presents the main support policies in place for wind in these selected jurisdictions. Section III provides an overview of their different electricity market arrangements. Section IV discusses the interactions between wind energy and the support policies and electricity markets considered in the previous two sections. Finally, conclusions are presented in Section V. II. SUPPORT POLICIES A wide range of policy mechanisms to support wind energy, or renewable energy more generally, have been used by different jurisdictions over recent decades. A general assessment of the available support policy mechanisms and their potential strengths and weaknesses can be found in [3]. Four general wind energy support policy mechanisms are considered here. The jurisdictions covered in this paper that have opted for each of these four approaches, together with their particular characteristics, are described below and summarized in Table II. TABLE II RENEWABLE ENERGY SUPPORT POLICIES IN DIFFERENT REGIONS A. Tender Schemes The theoretical basis of tender schemes is highly promising—governments can set a target of installed capacity or total public expenditure, and invite prospective project developers to submit project tenders that specify the government support—capital $ or $/MWh—required to proceed. Governments can then choose the lowest cost project providers. Unfortunately, the experience to date with tender-based approaches is mixed. For example, a number of countries opted for this approach in order to drive initial deployment of renewable energies but abandoned it some years later. In 1990, the UK introduced the Non Fossil Fuel Obligation mainly as a policy to support the nuclear industry although it also drove the installation of a number of wind farms. Ireland introduced its tender scheme in 1996 based on the UK model, but abandoned it ten years later because it failed to reach its set targets [4]. It is also notable that China adopted a franchise tender program in 2003 that was abandoned in 2009 for onshore projects. What proved to be irrationally low bids offered by competing developers led to the Government selecting projects with such low required support prices that the “winning” proponents were later unwilling or unable to actually undertake their projects [5]. However, China kept a tender scheme for offshore wind APARICIO et al.: COMPARISON OF WIND ENERGY SUPPORT POLICY AND ELECTRICITY MARKET DESIGN 811 farms and Denmark opened a scheme in 2005, also for offshore wind, with very good results [6]. A number of U.S. states use tender-based processes for their renewable portfolio standard although these may also be based around the use of tradable certificates as outlined in the next section. The jurisdictions using such tenders have also achieved mixed success [7]. B. Feed-in Tariffs Feed-in tariff schemes adopted by Denmark, Germany, and Spain have without doubt been the primary drivers of their significant wind energy deployment over the last two decades. Initial policy settings in these three countries, announced in the 1990s, were similar and relatively simple schemes with a single tariff for all renewable producers. These FIT schemes provided an electricity consumer funded fixed price for each MWh of generation over a given time period. Any project meeting the scheme requirements was eligible for this payment. As wind installed capacity started to rise, however, these policies have been significantly amended. Each country has followed different strategies. Germany has decided to make important changes in the FIT scheme, including fixed degression, an equalization scheme that tries to compensate the differences in wind resources between regions, and higher tariffs for repowering and offshore wind farms. The latest amendment of the German Renewable Energy Act, in force since January 1, 2012, has increased the degression for both onshore and offshore projects. However, the reduction in offshore tariffs will not be applicable until 2018 instead of the originally proposed 2015. An optional accelerated repayment model which offers a higher initial tariff for a reduced number of years has also been introduced for offshore wind farms. This amendment also introduced a new market premium, opening the possibility for direct selling (or direct marketing), which has important implications for the generators that participate, as it is shown latter in the paper. German amendments have managed to keep annual increases in installed capacity relatively constant over the past decade as Fig. 1 shows. Denmark phased out its FIT scheme in 2000. After a transition period, it adopted a scheme where the “feed in” tariff is now a fixed premium payment above and beyond what the wind farm projects earn from the electricity market. In Denmark’s case, wind generators connected to the grid after January 2003 must sell their production to the electricity market. Fig. 1 shows that new installed capacity rapidly declined following this change. However, and as noted above, the tendering process for offshore wind farms has driven more than 200 MW of new capacity in both 2009 and in 2010, and in 2013 the Denmark’s largest offshore wind farm with 400 MW will start operation and is expected to supply 4% of the country’s demand. This will help to meet the Danish target of 50% from wind by 2020. Spain introduced the option of wind farms taking an FIT premium in addition to energy market prices in 1998, earlier than Germany, but also kept the conventional FIT mechanism. Thus wind energy producers are able to choose between both remuneration schemes and switch between them every 12 months. No wind energy producers initially decided to participate in the Fig. 1. Annual increases in installed wind capacity in Spain, Germany, and Denmark from 2002 to 2011. Sources: Respective national wind associations. electricity market so an amendment in 2004 provided extra incentives to switch. By the end of 2006, around 90% of wind generation capacity bid in the market as those arrangements provided higher revenues than the conventional FIT. Finally, further amendments, announced in 2007, modified the tariffs introducing a cap and a floor in the sum of market price plus premium, variable degression depending on inflation, and lower tariffs once a technology target has been reached. Many wind energy developers accelerated the installation of their projects in order to complete them before this amendment came into effect at the beginning of 2008. The year 2007, therefore, saw a record increase in installed capacity, as shown in Fig. 1. The decrease in new installed capacity over the last two years is due to the “pre-assignation” register introduced by the Spanish government in 2010. A limited number of projects are approved in order to ensure Spain does not surpass its targets for the wind. Moreover, in January 2012, the government announced a temporary moratorium that freezes policy support for any new renewable energy project due to the impacts of the Global Financial Crisis. Ireland and China have now replaced their tender schemes with FITs. In Ireland, FITs have become the main mechanism for supporting wind energy. Offshore wind farms have had higher tariffs since 2008 [4]. In August 2009, China announced its first FIT scheme for onshore wind with different tariffs that depend on the wind resources and investment conditions in each of four regions [8]. 812 C. Quota System/Tradable Certificates A quota system is usually related with tradable renewable energy certificates (or credits) and has different names depending on the country. In the UK, the scheme that came into force in 2002 is known as Renewables Obligation (RO). Wind generators received a Renewable Obligation certificate (ROC) for each MWh of electricity generated. A 2008 amendment introduced the concept of ROC banding in order to give additional ROCs to emerging technologies. Thus, onshore wind, included in the “reference” band, receives 1.0 ROC per MWh, while offshore wind, which is included in the “postdemonstration” band, initially received 1.5 ROCs per MWh. The 2009 budget raised it to 2 ROCs for 2009/10 and 1.75 for 2010/11. The ROCs are sold to electricity suppliers in order to fulfil a mandated obligation placed upon them by the government according to its national renewable energy quota or target. Suppliers can either present enough ROCs to cover their obligations or they can pay for any shortfall into a buyout fund. The Renewables Obligation Order 2009 introduced significant changes. It requests the Secretary of State to announce the obligation level six months preceding an obligation period. This obligation level is the greater value of either the number of ROCs needed to meet a fixed target of ROCs/MWh or a headroom that is calculated as the ROCs expected to be issued according to the amount of renewable electricity expected to be generated, uplifted by 10%. This “guaranteed headroom” mechanism sets an effective floor for ROC prices once the obligation is reached. In the case where ROC supply exceeds the obligated demand, therefore, the RO system will then effectively operate in a similar manner to an FIT premium mechanism. The Australian Government’s Mandatory Renewable Energy Target (MRET) commenced operation in 2001 as the world’s first renewable energy certificate trading scheme [2]. It requires all Australian electricity retailers and wholesale electricity customers to source an increasing amount of their electricity from new renewable generation sources. The liable parties within the Australian electricity market are electricity retailers and those large consumers who purchase directly from the wholesale market. The “additional renewable electricity” that the liable parties are required to acquire was originally intended to be equivalent to 2% of their electricity purchases by 2010. The Renewable Energy Target (RET) announced in 2009 raised the requirement to 20% by 2020. Targets to date have been easily met and the costs seem reasonable by international standards [2]. Some State Governments have also set jurisdictional renewable goals although they are not backed with specific obligations. For example, in 2007, South Australia set a 20% target for 2014. In June 2011, it has been already met. The state, therefore, set a new goal of 33% by 2020 [9]. Victoria, which has the second highest installed wind capacity, has a 2020 goal of 25%, with a minimum of 20% for wind energy. However, it is intended that the Federal RET provide almost all wind project support in Australia. A number of changes have been made to the scheme over its decade of operation beyond a greater target, including separate arrangements for large-scale and small-scale renewable energy systems [2]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 Currently, there is no a federal quota scheme in the U.S. However, 29 states, the District of Columbia, and Puerto Rico have a Renewable Portfolio Standard (RPS), and eight states have a renewable portfolio goal. Texas adopted both an RPS and a renewable energy credit (REC) trading program in 1999 [10]. The RPS target was 2000 MW of new renewable generation by 2009, in addition to the 880 MW installed at the time. It was raised in 2005 to 5880 MW by 2015, where 500 MW must be resources other than wind, and to 10 000 MW by 2025. According to the 2009 compliance report, Texas had already surpassed its 2025 target by 2009. The Electric Reliability Council of Texas (ERCOT) acts as the program administrator of the REC trading program. Iowa passed one of the earliest renewable energy laws in the U.S. in 1983. It allocated 105 MW of renewable generating capacity between the two Iowan investor-owned utilities: Mid-American Energy Company (MEC) and Alliant Energy Interstate Power and Light (IPL) [10]. As Table I shows, the requirement has been clearly surpassed so both utilities have been authorized to export RECs by participating in Midwest Renewable Energy Tracking System, Inc. (M-RETS). Renewable generators used for meeting the RPS are not allowed to export RECs in order to avoid double-counting [11]. A voluntary goal of 1000 MW of wind energy capacity by 2010, established in 2001, has also been easily exceeded. Section 476.53 in Code of Iowa (2009) provides that it is the intent of the general assembly to attract the development of electric power generating facilities within the state. Thus, when eligible new electric generation is constructed by a rate-regulated public utility, the Iowa Utilities Board, upon request, must specify in advance the ratemaking principles that will apply when the costs of the new installation are included in electricity rates. In March 2009, pursuant to section 476.53, MEC filed an application for determination of advance ratemaking principles for up to 1001 MW of new wind generation to be built in Iowa from 2009 through 2012. In December 2009, the Board took up MEC’s proposal. As a result, MEC has installed significant wind generation capacity and is expected to have a total 2284 MW by the end of 2012. Minnesota introduced two separate RPS policies in 2007, one for the utility Xcel Energy and the second for other electric utilities. The latter includes public utilities providing electric service, generation, and transmission cooperative electric associations, municipal power agencies, and power districts operating in the state [10]. The RPS for Xcel Energy requires 30% of its total retail electricity sales in Minnesota to come from renewable sources by 2020. It included a minimum of 25% for wind energy but a State Senate Bill passed in 2009 added a maximum of 1% from solar to this requirement. Thus, at least 24% must come from wind energy, up to 1% may come from solar energy, and the other 5% may come from other eligible technologies. The RPS for other utilities requires 25% of their total retail electricity sales in Minnesota to come from renewable sources by 2020 without any technology minimums. Minnesota has been included in the M-RETS since 2008. This tracking system program ascribes the same amount of credits to all eligible technologies independently of the state where electricity is generated. Xcel Energy is not allowed to sell RECs to other Minnesota utilities for RPS-compliance purposes until 2021. APARICIO et al.: COMPARISON OF WIND ENERGY SUPPORT POLICY AND ELECTRICITY MARKET DESIGN California launched an RPS in 2002 with a target for its electric utilities to have 20% of their retail sales derived from eligible renewable energy resources in 2010 [10]. Senate Bill X1-2, enacted in 2011, raised the requirement to 33% by 2020. The Bill also established three categories, also known as buckets, of RPS-eligible electricity applicable to contracts executed from June 2010. The decision adopted in December 2011 by the California Public Utilities Commission provides detailed requirements for the three categories. Category one is for electricity that is from an RPS-eligible generation installation that has its first point of interconnection with a California Balancing Authority (CBA); scheduled from an RPS-eligible generation installation into a CBA without substituting electricity; or dynamically transferred to a CBA. Category two is for electricity that is firmed and shaped, providing incremental electricity scheduled into a CBA. Category three is for those transactions that do not meet the criteria of any of the two previous categories, including unbundled RECs. There are limitations on the amount of generation procured in categories two and three that become increasingly narrow over time. Category one generation is required to be a minimum of 50% of the total for the compliance period ending in 2013, 65% for the compliance period ending in 2016, and 75% thereafter. Until the portfolio content categories become sufficiently clear, the utilities are preferencing power purchase agreements (PPAs) with installations that definitely belong to category one. Given California’s increasing target, it is envisaged that PPA opportunities in categories two and three will expand in time, and with greater clarity on the arrangements. The Western Renewable Energy Generation Information System (WREGIS) tracks the renewable energy generated in the region covered by the Western Electricity Coordinating Council (WECC), California included. WREGIS issues certificates for every REC generated, which can be used to verify compliance with state RPS. However, currently WREGIS is not able to track the three new portfolio content categories. D. Tax Credits The U.S. Federal production tax credit (PTC) for wind has had a checkered history over the past decade. The latest extension of 2009 provides an income tax credit of 2.2¢/kWh until the end of 2012 while adding a number of provisions. Taxpayers eligible for the PTC are allowed to take a business energy investment tax credit (ITC) equal to 30% of the construction costs for the installation or to receive a cash grant of equivalent value if construction began by the end of 2011. Before 2009, installation owners that did not generate enough taxable income were unable to utilize PTC so they had to monetize the PTC through tax equity investors. The PTC, which applies for the first ten years of electricity production [12], has been remarkably successful in supporting wind deployment when it has been in place. However, during the periodic lapses of the PTC prior to congressional renewal, the state-based RPS mechanisms alone were not able to sustain the growth of wind power [13]. As it represents a credit against passive income, the PTC has a significant resemblance to an FIT premium. In fact, both are a fixed cash incentive provided to each kWh generated by wind. 813 Finland is the only EU country which uses tax incentives as the main support scheme for renewable energies. This policy, however, has not been effective for wind development [6]. III. OVERVIEW OF ELECTRICITY MARKETS AROUND THE WORLD Jurisdictions around the world have taken a wide range of approaches to electricity industry restructuring over the past three decades. Care must, therefore, be taken when comparing industry approaches and performance. Generally, countries with restructured electricity industries have both forward markets and real-time markets. In the forward markets, electricity is traded either centrally on a power exchange or bilaterally directly between market participants. A key role for the forward markets is to support unit commitment of those thermal generators that require generation scheduling a day prior to energy delivery. In the day-ahead markets, electricity is traded in intervals (settlement periods) that may be one hour long or less depending on the market design. A key challenge for these arrangements is that unexpected generator outages or changes in demand can take place between the closing of the day-ahead market and delivery the next day. Intraday markets permit market participants to trade closer to the delivery time, up until just prior to the gate closure. Intraday markets are commonly a continuous trading market that operates with a gate closure set one hour ahead of the settlement period [14]. After gate closure, it is no longer possible to change bids and offers for the settlement period. From gate closure until real-time, the difference between supply and demand is continuously balanced through real-time markets, where transmission system operators (TSOs)—or independent system operators (ISOs) or regional transmission organizations (RTOs)—purchase the energy needed to match supply to demand and to solve any network constraints. These organizations also have a responsibility for imbalance settlement. Charges apply to generators if their energy deliveries differ from the offers submitted to the market. The payment depends on the price system. This may be a two-price system, which has one price for imbalances with the same sign as the system net imbalance (prejudicial for the system since they contribute to the net imbalance) and a different price (lower) for imbalances with opposite sign (beneficial since they counteract the net imbalance); or a one-price system, which has only one price for all imbalances. Normally, the two-price system is used, since it encourages market participants to limit their imbalances according to whether they add to, or subtract from, net system imbalances. To ensure power system security and reliability, ancillary services are needed, including frequency and voltage control and black-start capability. TSOs or their equivalent organizations purchase ancillary services from service providers. Frequency control ancillary services are commonly traded on a market that has marked similarities to the electricity market. Gate closure, the duration of settlement periods, and imbalance settlement arrangements are all potentially very important for wind energy integration. The brief descriptions of electricity market arrangements for each of the jurisdictions that we are considering here, therefore, pay special attention to these features. 814 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 A. Denmark The four countries comprising the Nordic region (i.e., Denmark, Sweden, Norway, and Finland) are among the first to have restructured their electricity industries. In 1993, they connected their individual markets creating Nord Pool Spot, which was the world’s first multinational power exchange. Nord Pool Spot trades 74% of the electricity generated in the Nordic region. The rest is traded through bilateral contracts. It also operates a day-ahead market called Elspot, and an intraday market called Elbas. Elspot trades in one-hour intervals and closes at 12:00.1 It introduced different area prices in order to deal with network congestion between countries and within Norway [15]. Elbas is a continuous intraday market that covers the Nordic Region, Germany, and Estonia with a gate closure one hour before delivery. This intraday market is becoming increasingly significant as more wind energy enters the grid given that imbalances between its day-ahead contracts and produced volumes often need to be offset [15]. As discussed below, these market arrangements are now being changed in ways that affect wind energy directly. Since April 2011, the gate closure for trading in Germany has been reduced to 30 min. Negative prices have also been introduced in all market areas since mid-February 2011 in order to price oversupply [16]. Each local TSO has a different set of ancillary services costs according to their procurement arrangements and reserve requirements. Energinet.dk is the Danish TSO and purchases different ancillary services in Western and Eastern Denmark as the former is synchronously connected to the UCTE system and the latter to the Nordel system. Denmark settles imbalances using a two-price system. Norway used one-price system until 2008. Since then, all Nordic countries have used a two-price system for production imbalances and a one-price system for consumption imbalances [17]. B. Spain Spain belongs, with Portugal, to Mercado Ibérico de la Electricidad (MIBEL)—the Iberian Electricity Market. Each country may have different prices (splitting) in the case of transmission restrictions. All market participants can either arrange bilateral physical contracts or participate in a day-ahead market. As with the Danish market, this day-ahead market is divided into one-hour settlement periods and closes at 12:00. After the day-ahead scheduling, generator positions can be adjusted in the intraday market. Rather than being a continuous market, it is divided into six sessions. Each session has a different gate closure (around 2 hours) as well as a different time of delivery scope (up to 9 hours in the sixth session). The provision of ancillary services follows the general rules common in the UCTE system. The primary control is a compulsory service shared across all generators and without remuneration. The secondary control is performed within control areas according to the requirements, in MW, set by the Spanish TSO (Red Eléctrica de España). The generators willing to offer this 1This time of day and the following ones are in 24-h notation. service bid their power available and a market clearing process calculates the price per MW. The price is paid even if their services are not required (availability). The tertiary control restores the secondary control reserves under emergency conditions and while it is optional for generators to formally participate, the TSO can call upon any generator should it be required. By contrast with secondary control reserves, tertiary control services are only paid for if used. Imbalances are settled with a two-price system. C. Germany Most wind generation is not scheduled and, instead, is introduced into the electricity market through one of the country’s four TSOs. The distribution network operators transfer the wind generation for a fixed price to their respective TSO, which transforms the load fluctuating profiles into standard load profiles which are sold to all utilities [18]. Customers pay an average tariff to utilities. According to [18], this profile transformation mechanism is not fully transparent and not cost-optimized. Furthermore, as the costs of the profile transformation are completely passed through to the network customers, there is no economic incentive to minimize these costs. This mechanism has therefore been argued to represent an important weakness of the German FIT scheme. However, the amendment applicable from January 2012 [19] may help in addressing these drawbacks. Renewable generators can decide on a monthly basis to change the remuneration mechanisms and participate in direct selling in the electricity market. They have to forecast their production and are directly charged for their imbalances. The additional costs are covered by an extra premium known as management premium. TSOs share wind energy imbalances, which reduces the need for reserves. In order to manage this equitably, it is allocated proportionally to the TSOs’ according to their consumption, not their installed wind power. D. United Kingdom The British Electricity Trading and Transmission Arrangements (BETTA) cover England, Wales, and Scotland. Northern Ireland has been part of the Single Electricity Market together with the Republic of Ireland (see Section III-E) since 2007. In BETTA, over 90% of electricity is traded through unrestricted bilateral contracts. A power exchange permits market participants to fine tune their contracted positions. Gate closure is currently set one hour ahead of each half hourly settlement period. ELEXON, the Balancing and Settlement Code Company, uses a two-price system [20]. E. Ireland The Single Electricity Market (SEM) commenced trading in Ireland and Northern Ireland on an all-island basis in November 2007. SEM is a mandatory power exchange where all Ireland’s electricity must be traded. It has only a day-ahead market with a gate closure at 10:00. Energy is settled weekly. SEM plans to develop an intraday market [21]. APARICIO et al.: COMPARISON OF WIND ENERGY SUPPORT POLICY AND ELECTRICITY MARKET DESIGN F. Australia The Australian National Electricity Market (NEM) includes all states and territories other than Western Australia and the Northern Territory. Its centerpiece is a set of regional gross-pool spot energy and ancillary services markets that solve a security-constrained dispatch every 5 min. The Australian Energy Market Operator (AEMO) is the wholesale market operator and TSO for the entire system. Regions are currently located at all borders between states within the NEM. All generating plants of greater than 30-MW capacity (except intermittent generation including wind) are required to participate as scheduled generators and submit offers to sell or bids to buy energy (and/or ancillary services) in the NEM dispatch process. The predispatch processes forecasts up to 40 hours ahead of real time and provides public forecasts of energy and ancillary service prices and (privately to each dispatchable participant) dispatch levels based on participant bids and offers, the demand forecasts and the estimated effects of dispatch constraints. Demand is permitted to participate directly in the wholesale market; however, nearly all end-users interface with the market through an electricity retailer [2]. There are eight Frequency Control Ancillary Services (FCAS) markets to provide load following (raise and lower) and three contingency responses of different speed (raise and lower) between the 5-min energy dispatches. Market dispatch co-optimizes energy and FCAS bids and offers to establish regional prices for both energy and FCAS for each 5-min period. Commercial trading is based on these prices averaged over 30 min. Locational pricing within regions is achieved using averaged loss factors. Importantly all generators are permitted to change their offers (rebid) just prior to each 5-min dispatch. Furthermore, the only commercially significant prices in the NEM are these averaged 30-min prices—the predispatch prices are advisory only. Note also that the NEM is an energy-only market and participants are required to manage their own unit commitment and other intertemporal scheduling challenges (within a range of technical dispatch constraints). G. Texas ERCOT manages the electricity industry arrangements supplying 85% of Texas demand and covering 75% of state land area. The ERCOT control area is not synchronously connected to either the Eastern or Western Interconnection. However, it can exchange about 860 MW through dc links. In December 2010, ERCOT switched from a zonal market to a nodal market in order to improve price signals and dispatch efficiencies and assign local congestion directly [22]. The day-ahead market employs a co-optimization engine that uses both energy and ancillary services offers to calculate the energy schedules and capacity awards. ERCOT closes this market at 14:30. The real-time market is called security constrained economic dispatch (SCED). ERCOT generally runs the SCED every 5 min using offers by individual resources and actual shift factors by each resource on each transmission element. The settlement periods are 15 min long. 815 H. Minnesota and Iowa Minnesota and Iowa belong to the Midwest ISO (MISO), which operates a day-ahead market and a real-time and operating reserves market. They coexist with both financial and physical bilateral transactions between industry participants. The day-ahead market simultaneously clears energy and operating reserves on a co-optimized basis for every one-hour settlement period. Security constrained unit commitment (SCUC) and SCED algorithms ensure the scheduling of adequate resources [23]. The real-time and operating reserves market uses an SCED algorithm to simultaneously balance supply and demand and to meet operating reserves requirements amongst other actions. The gate closure is set to only 30 min ahead of delivery. In March 2011, an important change came into effect with the creation of a new category of resources called Dispatchable Intermittent Resources (DIRs). This category only applies to wind farms and allows them to voluntarily participate in the real-time market from June 2011, where they are eligible to supply energy but not operating reserves. From September 2011, DIR imbalances are settled similarly to conventional generators although only when an 8% tolerance band is exceeded, with a minimum of 6 MWh and a maximum of 30 MWh, for four or more consecutive 5-min intervals within an hour. Wind generators are exempt of imbalance charges in cases of force majeure, such as extreme winds. I. California The California ISO (CAISO) has three day-ahead processes: a market power mitigation determination, integrated forward market, and residual unit commitment. A bid from a market participant that fails the market power test is automatically reduced to the reference level price of that participant, and the system determines the minimal and most efficient schedule of generation to address local reliability. The integrated forward market simultaneously analyzes the energy and ancillary services market to determine the transmission capacity required (congestion management) and confirm the reserves that will be needed to balance supply and demand based on supply and demand bids. It ensures generation meets load and that all final schedules are feasible with respect to transmission constraints as well as ancillary services requirements. When forecast load is not met in the integrated forward market, the residual unit commitment process enables CAISO to procure additional capacity by identifying the least cost resources available [24]. The real-time market produces energy to balance instantaneous demand, reduce supply if demand falls, offer ancillary services as needed and, in extreme conditions, curtail demand. The gate closure is set 75 min ahead of delivery. The market has two unit commitment mechanisms. Real-time unit commitment assigns fast- and short-start units in 15-min intervals and looks forward 15 min, while short-term unit commitment assigns short- and medium-start units every hour and looks forward three hours beyond the settlement period every 15 min. In real-time, the economic dispatch process dispatches imbalance volumes and energy from ancillary services. It runs automatically and dispatches every 5 min for a single 5-min interval. 816 Under certain contingency situations, CAISO may dispatch for a single 10-min interval. IV. WIND ENERGY PARTICIPATION IN ELECTRICITY MARKETS A compilation of some key themes for wind energy integration coming out of the individual jurisdictional experiences is presented as follows. A. Wind Energy Forecasts and Generation Scheduling Wind generators participating in day-ahead markets must predict their output before market close time (varying between 9.5 h in ERCOT to 40 h ahead of delivery in some other markets). The day-ahead and longer wind forecasts required for such generation scheduling are not sufficiently precise and two possible alternatives have been put forward to help manage this. In the first case, adopted in Germany (not for renewable generators that participate in direct selling in the electricity market), Australia, MISO, ERCOT, and CAISO, the output of all wind generators is predicted over a range of time horizons through a centralized forecasting system. In the second approach, adopted in Denmark, Spain, and the UK, numerous prediction companies compete to provide forecasts for wind farm clients [25]. Note that such wind energy forecasts have value to all market participants, not just the wind farms—another argument for centrally provided forecasting services. Even in industries where wind is not required to participate in forward markets there is considerable value in wind farms and other market participants having useful day-ahead forecasts. These can play a role in derivative market trading around the future spot price, maintenance scheduling of wind farms, unit commitment strategies of thermal plant, and production scheduling of hydro. There is also considerable value in useful short-term forecasts that assist in generator bidding in the real-time spot markets. For example, recent changes in the Australian market arrangements have more formally incorporated wind farms into market scheduling and ancillary services arrangements through a semischeduled classification. There are similarities with the new DIR category within the MISO arrangements that was described in the previous section. B. Imbalance Settlement Imbalance settlement is probably the aspect of electricity markets design that has highest impact on wind energy [17], [26]. In general, system and market operators calculate such imbalances and settle them according to either a one- or two-price system. This determines how the total balancing costs are distributed and how incentives are given to market participants [27]. With the one-price system used for balance settlement in Norway before 2008, the balance costs of wind energy were negligible as long as its random variability assured that positive imbalances from some wind generation were compensated by negative ones [28]. Since 2008, all Nordic countries have used a two-price system for production imbalances and a one-price system for consumption imbalances [17]. Spain originally applied a different one-price system that charged for IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 all imbalance volumes independently of their direction. Now it uses this two-price system: zero costs for producers that do not contribute to the system net imbalance and a penalty for those that do. Denmark, the UK, and Australia (only with Regulating FCAS) also run a “causer pays procedure” in order to assign the cost of the regulating power to those market participants who are responsible for the imbalance. Note, however, that there are inevitably difficulties in assigning such responsibilities given the complex nature of electricity industry operation. This kind of arrangement may impose significant charges on wind energy so some tolerance in energy imbalance is often applied and the prices paid by wind are often lower than those paid by conventional generation. In Germany, full responsibility for balancing wind generation is assumed by the TSOs. Indeed, they are in charge of forecasting, scheduling, and balancing. In the U.S., Federal order 890 assists intermittent generation with more flexible balancing settlement [29]. For example, DIRs in MISO are only charged if an 8% tolerance band is exceeded for four or more consecutive 5-min intervals within an hour, whereas CAISO has the Participating Intermittent Resource Program (PIRP). Wind generators that participate in the PIRP have better arrangements. Energy imbalances are netted on a monthly basis and settled at a monthly weighted market-clearing price. In Australia, the hybrid 5/30 min gross spot market with associated frequency control ancillary services (FCAS) seems reasonably supportive of wind integration [2]. Reduced gate closures permit rebidding up to few minutes from delivery whereas in many intraday markets it is possible to reschedule with updated forecasts of only one hour (or less as in MISO). However, this can reduce liquidity; especially in the case of market power (CAISO has market power mitigation). If the market is open until very close to gate closure, wind generators are able to better forecast and manage the energy that they actually produce. However, the closer to real time, the fewer the conventional generators that may be available to help wind generators to correct their position. Continuous markets permit changes to bids closer to real time (for example, in the UK until one hour before). In Spain, by contrast, the six intraday sessions have delivery scopes up to 9 hours. There are higher forecast errors; however, there is also a greater willingness and interest amongst the generators to change their position (including all wind generators), so the market is likely to have greater liquidity [18]. Experience to date suggests that intraday prices differ little from the day-ahead prices. So this more liquid market permits generators to improve their bids and offers at little cost while also reducing regulation requirements. Note that gross pool arrangements such as those of the Australian NEM resolve short-term supply–demand balance with the compulsory involvement of all generation and load. Wind imbalances are significantly reduced by aggregating the bids of wind farms over geographically dispersed locations and large areas [26]. Active demand participation is also useful in reducing imbalances. FERC Order 719 considers electricity market accepting bids from demand response resources, on a basis comparable to any others, for ancillary services that are acquired in a competitive bidding process. APARICIO et al.: COMPARISON OF WIND ENERGY SUPPORT POLICY AND ELECTRICITY MARKET DESIGN C. Curtailment An excess of wind generation may cause system operating problems such as transmission line overloading or insufficient regulation reserves that force TSOs or their equivalent organizations to order real-time curtailment to wind generators during normal operation. Wind generators that reduce power may be rewarded for this, depending on the electricity market arrangements. When rewards are given, wind generators typically earn a percentage of what they could have generated. In Ireland it is 100% [30] while in Spain it is just 15%. Another possibility to reduce over-production is to permit negative wholesale market prices [27]. Prices in electricity markets typically have a zero-floor limit. Elbas has accepted negative prices since 2009 while Australia and some U.S. electricity markets have permitted negative prices well before this. CAISO has proposed to lower the bid floor from $30/MWh to $150/MWh, then to $300/MWh. Spain may consider accepting it only for downward regulation provision. V. CONCLUSION Wind generation penetrations have reached significant levels in some countries and states around the world. In almost all cases this has required changes in both policy support mechanisms and electricity market design in order to better manage wind energy. Tender schemes have been successful only with offshore wind. FIT tariff premiums are now the predominant scheme as a market oriented transition from conventional FITs. Denmark made the transition mandatory whereas Spain, and Germany since 2012, introduced incentives. For the case of Spain, they persuaded around 90% of wind generators to switch from FITs. The “guaranteed headroom” mechanism introduced in the UK is a way to transform the Renewables Obligation mechanism into FIT premiums given an oversupply of ROCs. The PTC can also be considered as a form of FIT premiums. Quota-based approaches have had more limited application and mixed success to date. With regard to electricity market arrangements, imbalance settlement is probably the element of electricity market design that has the highest impact on wind generation. It depends on the price system, the specific arrangements for intermittent sources, possibilities to aggregate bids of wind farms over geographically dispersed sites and large areas, active demand participation, and gate closure. Small gate closures permit scheduling with reduced forecast errors. However, this reduces liquidity. In conclusion, there are complex and changing interactions between a) the desired policy objectives of increasing wind energy generation or renewable energy more generally, b) the chosen policy approaches applied to facilitate greater deployment, and c) the commercial and regulatory arrangements that govern how such wind energy is integrated into existing electricity industries. It is evident that the challenges of appropriate policy and electricity market arrangements grow as wind penetrations increase. Some clear trends have emerged with those countries now experiencing high penetrations. These include the need to have wind farms more formally participating in the electricity market mechanisms that manage supply-demand balance over the immediate to longer-term. While this might be 817 seen as an impediment to greater wind deployment, it is better understood as the inevitable process of wind transitioning from a small industry contributor that can be ignored as “negative load,” to a serious player that can greatly help in addressing our growing energy security and climate change challenges within the electricity sector. REFERENCES [1] REN21, Renewables 2011 Global Status Report 2011. [2] I. MacGill, “Electricity market design for facilitating the integration of wind energy: Experience and prospects with the Australian National Electricity Market,” Energy Policy, vol. 38, pp. 3180–3191, 2010. [3] N. Enzensberger, M. Wietschel, and O. 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[10] DSIRE, Database of State Incentives for Renewables & Efficiency [Online]. Available: http://www.dsireusa.org [11] Order Approving Facilities and Associated Capacities, Adopting Requirements for M-RETS Participation, and Requiring Report Iowa Utilities Board Order, Docket AEP-07-1, Nov. 2007. [12] Federal Policy, American Wind Energy Association [Online]. Available: http://www.awea.org/issues/federal_policy/index.cfm [13] C.-J. Yang, E. Williams, and J. Monast, Wind Power: Barriers and Policy Solutions Duke University, Nov. 2008. [14] Current State of Intraday Markets in Europe ETSO, May 2007. [15] Nord Pool Spot, The Power Market—How Does It Work [Online]. Available: http://www.nordpoolspot.com/How-does-it-work [16] Nord Pool Spot Introduces Negative Prices on Elbas, and Reduces Gate Closure on Elbas in Germany Piece of Market News No. 11/2011, Feb. 2011. [17] H. Holttinen, P. Meibom, A. Orths, F. Hulle, B. Lange, M. O’Malley, J. Pierik, B. Ummels, J. O. Tande, A. Estanqueiro, M. Matos, E. Gómez, L. Söder, G. Strbac, A. Shakoor, J. Ricardo, J. C. Smith, M. Milligan, and E. Ela, Design and Operation of Power Systems With Large Amounts of Wind Power Final Report, IEA WIND Task 25, Phase One 2006–2008, Aug. 2008. [18] C. Klessmann, C. Nabe, and K. Burges, “Pros and cons of exposing renewables to electricity market risks—A comparison of the market integration approaches in Germany, Spain, and the UK,” Energy Policy, vol. 36, pp. 3646–3661, 2008. [19] Act on Granting Priority to Renewable Energy Sources (Renewable Energy Sources Act—EEG), Version Applicable as at 1 January 2012. [20] Association of Electricity Producers, Electricity Market [Online]. Available: http://www.aepuk.com/about-electricity/electricity-market [21] SEMO, Single Electricity Market Operator [Online]. Available: http:// www.sem-o.com [22] ERCOT, Texas Nodal Market Implementation Archive [Online]. Available: http://nodal.ercot.com/index.html [23] MISO, Market Information [Online]. Available: https://www.midwestiso.org/MarketsOperations/MarketInformation/Pages/MarketInformation.aspx [24] CAISO, Market Processes [Online]. Available: http://www.caiso.com/ market/Pages/MarketProcesses.aspx [25] J. Rivier Abbad, “Electricity market participation of wind farms: The success story of the Spanish pragmatism,” Energy Policy, vol. 38, pp. 3174–3179, 2010. [26] F. V. Hulle, N. Fichaux, A.-F. Sinner, P. E. Morthorst, J. Munksgaard, S. Ray, C. Kjaer, J. Wilkes, P. Wilczek, G. Rodrigues, and A. Arapogianni, Powering Europe: Wind energy and the electricity grid, A Report by the European Wind Energy Association, Nov. 2010. 818 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 3, NO. 4, OCTOBER 2012 [27] C. Hiroux and M. Saguan, “Large-scale wind power in European electricity markets: Time for revisiting support schemes and market designs?,” Energy Policy, vol. 38, pp. 3135–3145, 2010. [28] A. Helander, H. Holttinen, and J. Paatero, “Impact of wind power on the power system imbalances in Finland,” in Proc. 7th Int. Workshop on Large-Scale Integration of Wind Power into Power Systems Madrid, España, 2008. [29] NERC, Accommodating High Levels of Variable Generation Apr. 2009, Special Report. [30] T. Ackermann, G. Ancell, L. D. Borup, P. B. Eriksen, B. Ernst, F. Groome, M. Lange, C. Mohrlen, A. G. Orths, J. O’Sullivan, and M. de la Torre, “Where the wind blows,” IEEE Power Energy Mag., vol. 7, no. 6, pp. 65–75, Nov./Dec. 2009. Néstor Aparicio (S’06–M’12) received the M.Sc. degree from the University Jaume I of Castelló (UJI), Castelló de la Plana, Spain, in 2002, and the Ph.D. degree from Universidad Politécnica de Valencia, Spain, in 2011. He is an Assistant Professor of the Electrical Engineering Area at Universitat Jaume I, with research interests in the grid integration of wind-power generators. For 6 months, he visited the Institute of Energy Technology of Aalborg, Denmark and the Centre for Energy and Environmental Markets (CEEM), Sydney, Australia in 2006 and 2008, respectively. Iain MacGill (M’10) is an Associate Professor in the School of Electrical Engineering and Telecommunications at the University of New South Wales, Sydney, Australia, and Joint Director (Engineering) for the University’s Centre for Energy and Environmental Markets (CEEM). His teaching and research interests at UNSW include electricity industry restructuring and the Australian National Electricity Market, sustainable energy technologies, renewable energy integration into power systems, and energy policy. Juan Rivier Abbad (M’99) received the Electronic Engineering degree from the Universidad Pontificia Comillas, Madrid, in 1992, and the Ph.D. degree from the same University in 1999. He joined the Instituto de Investigación Tecnológica (IIT) in 1992 as a research fellow and the Electrical Department of the Engineering School (ICAI) in 1999 as an assistant professor, both at the Universidad Pontificia Comillas. He was a Visiting Research Fellow at the Centre for Energy and Environmental Markets (CEEM) of the University of New South Wales, Australia, during the academic year 2005/06. He is currently the Energy Management Responsible at Iberdrola Renovables. He has experience in industry joint research projects in the field of electric energy systems in collaboration with international and Spanish utilities, and with energy regulatory commissions. His areas of interest are regulation, operation, and integration of renewable energy sources generators, and electricity markets. Hector Beltran received the M.Sc. degree in industrial engineering, in 2004, from the Universitat Jaume I (UJI), Castelló de la Plana, Spain, and the Ph.D. degree in electrical engineering, in 2011, from the Technical University of Catalonia (UPC), Terrassa, Spain. During 2003, he worked at the European Centre for Nuclear Research (CERN), Geneva, Switzerland. From 2004 to 2006, he worked as a Researcher at the Electronic and Energy Departments of the Energy Technologycal Institute (ITE), València, Spain. Since 2006, he is an Assistant Professor in the Electrical Engineering Area at UJI. Meanwhile, he visited the Institute of Energy Technology, Aalborg University, Denmark (for 6 months), and the Renewable Energies Electric Systems Research Group at the Technical University of Catalonia (UPC), Spain (for 9 months). His current research interests include massive photovoltaic integration into the grid, energy-storage systems, and microgrids.
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