Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Improving offering strategies for wind farms enhanced with storage capability
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.
Improving offering strategies for wind farms enhanced with storage capability
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.
Improving offering strategies for wind farms enhanced with storage capability
Ding, Huajie (Autor:in) / Hu, Zechun (Autor:in) / Song, Yonghua (Autor:in) / Pinson, Pierre (Autor:in)
01.01.2015
Ding , H , Hu , Z , Song , Y & Pinson , P 2015 , Improving offering strategies for wind farms enhanced with storage capability . in Proceedings of 2015 IEEE Eindhoven PowerTech . IEEE , pp. 1-6 , 2015 IEEE Eindhoven PowerTech , Eindhoven , Netherlands , 29/06/2015 . https://doi.org/10.1109/PTC.2015.7232244
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
day-ahead contracts , gradient descent algorithm , wind power plants , Energy and Industry Applications , energy storage , power markets , energy storage system , wind power deviation , Bidding strategy , wind farms , wind power forecast error , Artificial intelligence , day-ahead bidding strategy , operation strategy , two-price balancing market rules , real-time operation , gradient methods , Power , storage capability , electricity markets , wind farm , ESS
DDC:
690
Optimized dispatch of wind farms with power control capability for power system restoration
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