Conference paper
Improving offering strategies for wind farms enhanced with storage capability
Tsinghua University1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Department of Electrical Engineering, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark5
CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark6
Due to the flexible charging and discharging capability, energy storage system (ESS) is thought of as a promising complement to wind farms (WF) in participating into electricity markets. This paper proposes a reserve-based real-time operation strategy of ESS to make arbitrage and to alleviate the wind power deviation from day-ahead contracts.
Taking into account the operation strategy as well as two-price balancing market rules, a day-ahead bidding strategy of WF-ESS system is put forward and formulated. A modified gradient descent algorithm is described to solve the formulations. In the case studies, the computational efficiency of the algorithm is validated firstly.
Moreover, a number of scenarios with/without considering the temporal dependence of wind power forecast error are designed and employed to compare the proposed strategy with other common ones in terms of profit.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2015 |
| Pages: | 1-6 |
| Proceedings: | 2015 IEEE Eindhoven PowerTech |
| ISBN: | 147997692X , 1479976938 , 1479976954 , 9781479976928 , 9781479976935 and 9781479976959 |
| Types: | Conference paper |
| DOI: | 10.1109/PTC.2015.7232244 |
| ORCIDs: | Pinson, Pierre |
Artificial intelligence Bidding strategy ESS Power, Energy and Industry Applications day-ahead bidding strategy day-ahead contracts electricity markets energy storage energy storage system gradient descent algorithm gradient methods operation strategy power markets real-time operation storage capability two-price balancing market rules wind farm wind farms wind power deviation wind power forecast error wind power plants
