What do fault statistics tell us regarding causes resulting in power outages? Gerd H. Kjølle Professor II Dept. of Electric Power Eng., NTNU Senior Research Scientist, SINTEF Energy Research Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 1 Content of presentation FASIT – The Norwegian standard for reliability data collection and reporting Faults and interruptions (power outages) – definitions Highlights from the fault statistics 1 – 420 kV Number of events and energy not supplied 1989 – 2010 Fault causes 2007 – 2010 Component faults and fault rates Interruptions and cost of energy not supplied (CENS) Large disturbances (high impact) Brief comparison Nordic countries Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 2 Standard for collection, calculation and reporting – FASIT FASIT software Introduced in 1995 Used by all network companies in Norway 6 software vendors Software quality assurance (contracts and acceptance test) Reporting schemes ≥ 33 kV 1 - 22 kV < 1 kV Basic requirements Guidelines for data collection Software specification www.fasit.no Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change FASIT – reliability data classes • Component Failure cause Maintenance Fault Planned disconnection Forced outage Interruption • Voltage level No interruption • End-user • Network level/type CENS • ENS • Affected enduser groups • Responsible company Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Interruption – definition (EN 50160) Condition in which the voltage at the supply terminals is lower than 5 % of the reference voltage. A supply interruption can be classified as prearranged, when network users are informed in advance, or accidental, caused by permanent or transient faults, mostly related to external events, equipment failures or interference. An accidental interruption is classified as: a long interruption (longer than 3 min); a short interruption (up to and including 3 min) Power outage = interruption in this presentation Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Fault – definition Fault is the state of an item characterized by inability to perform a required function (IEC) Fault causes may be related to construction, production, installation, use or maintenance causing fault on the unit Fault causes may be classified in triggering, underlying or contributing causes Faults are divided in Permanent (corrective maintenance/repair) Transient/ temporary (no corrective maintenance/repair, reconnection of breaker or replacement of fuse) Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Power system levels – Norway Generation Transmission Sub-transmission Import/Export G 420 kV 300 kV G Distribution Import/Export 132 kV 66 kV 22 kV 11 kV G G Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 230 V 400 V Number of events 1 – 420 kV 35000 30000 25000 Planned disconnections 33 - 420 kV 20000 Disturbances 33 - 420 kV Planned disconnections 1 - 22 kV 15000 Temporary failures 1 - 22 kV Permanent failures 1 - 22 kV 10000 5000 0 FASIT introduced Lack of detailed data for 2006 About 25000 events per year > 95 % in the distribution network, ~ 50 % disturbances Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Energy not supplied 1 – 420 kV 60000 ENS due to planned disconnections 33 - 420 kV (from 2001 only) 50000 Sum ENS due to disturbances 33 - 420 kV ENS due to planned disconnections 1 - 22 kV 40000 MWh per year ENS due to disturbances 1 - 22 kV 30000 20000 10000 0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Sum 2007 should be 14800 MWh Revenue regulation CENS Lack of detailed data for 2006 ~ 80 % caused by faults in the distribution network Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Triggering fault causes 1 – 22 kV 2007 - 2010 Weather and unknown/not clarified fault causes dominate Energy not supplied (ENS): No of disturbances: Disturbances 1-22 kV divided in triggering fault cause 2007-2010 No triggering fault Operational stress cause Unknown 3% 2% 5% Construction/ maintentance etc 2% Human errors 6% Cause not clarified 28 % ENS due to disturbances 1-22 kV divided in triggering fault cause 2007-2010 Unknown Operational stress No triggering fault 3% 4% cause Cause not clarified 2% Construction/ 14 % maintentance etc 3% Previous faults 0% Human errors 7% Technical equipment 22 % Environment 43 % Previous faults 0% Environment 45 % Technical equipment 11 % 10 % 8% 18 % 5% 34 % 20 % Lightning Lightning Wind Wind Snow/ice Snow/ice Salt/pollution 15 % Birds/animals Other/unknown 18 % Birds/animals 36 % Other/unknown 12 % 1% 7% Salt/pollution Vegetation Vegetation 14 % 2% Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 10 Triggering fault causes 33 – 420 kV 2007 – 2010 Weather , technical equipment and human errors dominate Energy not supplied (ENS): No of disturbances: Distburbances 33-420 kV divided in triggering fault cause 2007-2010 Cause not clarified 10 % Previous faults 0% UnknownOperational stress Construction/ 2% 6% maintentance etc 7% Human errors 15 % Technical equipment 18 % ENS due to disturbances 33-420 kV divided in triggering fault cause 2007-2010 Cause not clarified Unknown Operational stress 1% 4% Previous faults 6 % 1% Construction/ maintentance etc 24 % Technical equipment 22 % Human errors 15 % Environment 27 % Environment 42 % 3% 8% 2% 8% Lightning 12 % Wind Snow/ice 3% 50 % 8% 22 % Lightning Wind Snow/ice Salt/pollution Salt/pollution Vegetation Vegetation Birds/animals Other/unknown 16 % 34 % Birds/animals 3% Other/unknown 9% 22 % Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 11 Component faults 1 – 22 kV 2007 – 2010 1-22 kV 4500 3500 No of faults per year 2007-2010 4000 ENS per year år 2007-2010 3000 3500 2500 2000 2500 2000 1500 MWh per year No of faults per year 3000 1500 1000 1000 500 500 0 0 Overhead line Underground cable Breaker, disconnector Transformer Other Not identified Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 12 Component faults 33 – 420 kV 2007 – 2010 33-420 kV 300 1000 900 No of faults per year 2007-2010 ENS per year 2007-2010 250 800 No of faults per year 600 150 500 400 100 MWh per year 700 200 300 200 50 100 0 Overhead line Underground cable Breaker, disconnector Transformer Other Not identified Protection Control equipment Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 0 13 Fault rate for overhead lines 1 – 22 kV 1989 – 2005 12,0 No. of faults per 100 km Temporary faults Permanent faults 10,0 All faults 8,0 6,0 4,0 2,0 0,0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year FASIT introduced New version of FASIT Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Fault rate overhead lines 1 – 22 kV 2007 – 2010 Fault frequency overhead line 1-22 kV Temporary Permanent All faults Faults per 100 km per year 8 7 6 5 4 3 2 1 0 2007 2008 2009 2010 1 – 22kV: 6 – 7 faults per 100 km per year Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 15 Fault rate overhead lines 33 – 420 kV 1989 – 2005 Fault frequency 33 - 420 kV 3,0 No of faults per 100 km per year 2,5 420 kV 220 - 300 kV 2,0 132 kV 33 - 110 kV 1,5 1,0 0,5 0,0 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 År Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 16 Fault rate overhead lines 33 – 420 kV 2007 – 2010 Fault frequency overhead lines 33-420 kV No of faults per 100 km per year 1,8 420 300-220 1,6 132 1,4 110-33 1,2 1 0,8 0,6 0,4 0,2 0 2007 2008 År 2009 2010 420kV – 33 kV: ~ 0,5 - 1 faults per 100 km per year Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 17 Interruptions 2005 – 2010, long interruptions > 3 minutes 3,5 4,5 Long interruptions No of interruptions per delivery point 2,5 3,5 SAIFI Hours per year No of interruptions per year 3 2 1,5 1 Long interruptions 4 3 Annual interruption duration per delivery point 2,5 2 SAIDI 1,5 1 0,5 0,5 0 2005 2006 2007 2008 2009 2010 0 2005 2006 2007 2008 2009 2010 About 3 long interruptions and 3 – 4 hours per year per delivery point Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 18 Interruptions 2006 – 2010, short interruptions ≤ 3 minutes 3,5 3 2,5 SAIFI 2 1,5 1 Short interruptions 2,5 No of interruptions per delivery point Minutes per year No of interruptions per year 3 Short interruptions 2 Annual interruption duration per delivery point 1,5 SAIDI 1 0,5 0,5 0 0 2005 2006 2007 2008 2009 2010 2005 2006 2007 2008 2009 2010 About 2,5 short interruptions and 2 minutes per year per delivery point Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 19 Cost of energy not supplied caused by different system levels Cost of short interruptions included from 2009 600000 500000 NOK 1000 400000 Distribution Regional grids 300000 Main grid 200000 Total 100000 0 2007 2008 2009 Distribution counts for 78 % Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 20 Normal/frequent events vs major events (large disturbances, HILP) Causes Consequences Minor Moderate Natural hazard Technical/ operational Human errors Terror, sabotage etc. Power system failures Wide-area interruption/ Blackout Barriers Major Critical Catastrophic Fault statistics mainly give information about normal/frequent events Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 21 Examples of large disturbances (blackouts), Nordic, Europe, Canada 18000 Sweden 1983 Southern Sweden/ Eastern Denmark 2003 Western Norway 2004 16000 Helsinki 2003 14000 Southern Sweden 2005 (Gudrun) Canada 1998 Disconnected load (MW) 12000 France 1999 Europe, UCTE 2006 10000 8000 6000 4000 2000 0 0,1 1 10 100 1000 Hours Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 22 More examples, Norway, US/Canada... Historic blackouts: Duration and disconnected load Canada '98 10.000 Swe/DK '03 W. Norway '04 Gudrun '05 1.000 100 Steigen, Norway '07 Oslo S '07 0,1 1 10 Stipulated average duration (log h) 10 1 1000 100 Critical infrastructures Project Vulnerability and security in a changing power system, Nfr/SINTEF Energi, 2009 - 2012 Energiutvalget august 2011 Workshop DNV25. – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Disconnected load (log MW) 100.000 US /Canada '03 Fault causes major events - examples ”Western Norway”, February 2004, 300 kV Breakage of line joint Delayed protection response Causes: Steigen, January 2007, 66 kV Breakdown of both overhead lines Causes : Storm, icing Construction fault Construction fault Degradation of components Degradation (ageing) ”Inappropriate” protection Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 24 Comparison Nordic countries ENTSO-E Nordic Grid disturbance and fault statistics 2008 Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 25 Comparison Nordic countries ENTSO-E Nordic Grid disturbance and fault statistics 2008 Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 26 Comparison Nordic countries ENTSO-E Nordic Grid disturbance and fault statistics 2008 Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 27 Extra slides Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 28 Software certification: FASIT test network E ~ G1 RP4 D T1 10/66 kV BL7 BE17 BE1 KL6 BS5 SA6 SA1 BE2 T5 KL5 BE3 BS6 RP3 B KL1 BE11 SA5 KL2 BE4 LP1 BE5 BE14 RP2 BS1 A BE1 0 BS3 RP5 BE13 T3 T6 BS4 KA4 KL3 SA4 KA1 T7 SA8 KA3 BE6 BE7 T4 KL4 SA2 BE15 RP6 BS2 KA2 SONE 1 T2 66/22 kV BE8 BE9 SA7 SONE 2 RP1 SA3 C BE16 G: Generator BS: Disconnector SA: Busbar KL: Overhead line BE: Circuit breaker KA: Underground cable T: Transformer LP2 RP: Delivery (load) point BS30 LP: Delivery point A, B, C, D: Network companies Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change Extraordinary Events – Understanding Sequence, Causes, and Remedies E. Johansson U.S. and Canada, August 14, 2003 Simplified description of the event 1. 12.15-14.54: Malfunctioning software systems limiting the operators situation awareness and control (State Estimator, SCADA alarm and logging, EMS terminals and server) Time between triggering event and cascaded tripping ~ 4 h 2. 13.31: Trip of important generation increases loading on lines 3. 14.02-16.05: Tripping of highly loaded lines, with premature tripping of many lines due to inadequate vegetation management 4. 16.06-16.11: This eventually caused instability, triggering cascaded tripping, separating the Eastern Interconnection into two asynchronous areas 5. 16.11-16.13: Large differences between load and generation, led to instability and blackout of the island consisting of parts of Northeastern U.S and Ontario Ref.: Final Report on the 2003 Blackout in the United States and Canada: Causes and Recommendations, U.S.-Canada Power System Outage Task Force Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 30 U.S. and Canada, August 14, 2003 US / Canada, August 14 2003 Overview of the course of events.1 The map highlights the affected regions. Threats Malfunction of computer systems for system operation Overgrown vegetation Inadequate system understanding, operator training and clarification of responsibility Inadequate protection system/ scheme Final consequences for endusers 12:15 Failure (info) Erroneous input data put the Midwest Independent System Operator’s state estimator and real time contingency analysis tool out of service 13:31 Failure Generator at Eastlake power plant trips – loss of important source of reactive power 14:02 Failure 345 kV line trips due to tree contact caused by high temperature and line-sagging 14:14 Failure (info) Control room operators at First Energy looses the alarm function (with no one in the control room realising this) 15:05 – 15:41 Failures Three 345 kV lines into the Cleveland-Akron area trips due to tree contact. Loads on other lines increase Operators at First Energy begin to realise that their computer system is out of order and that the network is in serious jeopardy. 15:42 16:06 Failures Decreased voltage and increased loading of the underlying 138 kV system, causes 16 lines to fail in rapid order Failure Loss of the 345 kV Sammis-Star line between eastern and northern Ohio due to overload. Triggers the cascade Uncontrolled power surges and overload causes relays to trip lines and generators. Northeastern US and Ontario form a large electrical island, which quickly becomes unstable due to lack of generation capacity to meet the demand. 50 million people affected 61 800 MW lost, 350 000 MWh lost System in normal state, within prescribed limits. High, but not abnormally high loads Aug 14 Cascade Further tripping of lines and generators breaks the area into several electric islands, and most of these black out completely. Some smaller islands with sufficient generation manage to stabilize. Cascade over. 50 million people deprived of power 16:13 Aug 15 Restoration Approx 80 % of the energy restored Ref.: Final Report on the 2003 Blackout in the United States and Canada: Causes U.S.-Canada Power System Outage Task Force Augand 22 Recommendations, Restoration completed Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 31 U.S. and Canada, August 14, 2003 Vulnerabilities Lack of sufficient tools, competence and standards, leading to: Inadequate situational awareness Insufficient diagnostic support from the interconnected grid’s reliability coordinator (MISO) Barriers to prevent component failure Vegetation management Monitoring of lines and operation to prevent overload. Barriers to prevent power system failure Situation awareness and response of TSOs, operator training Computer tools for monitoring, and back-up systems for these Reliability standards and clear areas of responsibility; ensure operation within secure limits Information sharing between TSOs Ref.: Final Report on the 2003 Blackout in the United States and Canada: Causes and Recommendations, U.S.-Canada Power System Outage Task Force Workshop DNV – NTNU 2011-09-27 Risk and vulnerabilities in power systems in light of climate change 32
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