PARTNER SEARCH
Project title: Big Data-driven Decision Support System for Short-term Operations of Electrical
Distribution Grids
Call:
H2020-LCE-2016-2017
Project type:
Innovation action
Keywords:
energy data management system; Distribution Grid; advanced analytics; Forecasting;
big data; demand-response; energy storage; smart meter; Smart grid
Main research areas:
The development of a big data-driven monitoring and decision support system levering advanced
analytics for short-term and dynamic operations of electrical distribution grids.
By using large amount of data available in the context of the smart grid, the system enables a more
effective coordination between demand, traditional supply, distributed renewable generation and
flexible resources available in the form of both grid balancing assets (microgrids, virtual power
plants, storage) and demand-side flexible loads (demand-response).
Short description:
The proposed outcomes will be achieved by means of the following components)
• A scalable system for data assimilation and energy forecasting. The system will provide improved
observability across the distribution grid, from low-voltage transformers up to primary substation
feeders via the ingestion and assimilation of data coming from traditional SCADA systems, advanced
metering infrastructure and other sensing devices available at other generation and consumption
assets, such as storage systems, renewable generators and smart appliances, balancing assets,
among others. Such data might be in the form of pure measurements or even derived values such as
forecasts, e.g., provided by microgrids.
The system will also ingests data coming from high-resolution numerical weather services and
weather stations, to ultimately produce short-term forecasts of energy consumption and distributed
generation at various aggregation levels across the distribution grid.
• An energy management system that better reacts to market control signals (e.g. day-ahead and
real-time price) from utility and improves the optimization of flexible resources on the consumer
side.
• The optimization of short-term operational decisions that coordinate actions of distributed
automation systems, market signals for demand response and management of various grid balancing
assets, based on inputs from the data assimilation and energy forecasting systems.
• A market structure and demand-response programs to realise means for sending control signals to
individual consumers to respond to adapt to market conditions, for example based on dynamic
pricing.
• Improved leveraging of smart meter infrastructure to support exchange of energy and market
signals between the network operator and the final consumers.
• Advanced leveraging of devices that provide demand-side flexibility, including storage options via
batteries or various means of heat storage.
• Improved operation and control of home energy management systems based on market signals.
LE14009
Kancelář podpory mezinárodního výzkumu a mobilit v Moravskoslezském kraji
Partner profile sought:
•
ICT company for system implementation and integration
•
Experts in big data management
•
Experts in real-time monitoring and optimization
•
Experts in business, roles and processes of the energy market
•
Experts in current regulations & interfaces within the EU energy context
Contact information:
Lukas Stranak
University of Ostrava
[email protected]
[email protected]
LE14009
Kancelář podpory mezinárodního výzkumu a mobilit v Moravskoslezském kraji