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Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets

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Energy and AI 2023年第4期14卷 371-382页

作者： Jinhao Li Changlong Wang Hao Wang Department of Data Science and AI Faculty of Information TechnologyMonash UniversityMelbourneVictoriaAustralia Department of Civil Engineering Monash UniversityMelbourneVictoriaAustralia Monash Energy Institute Monash UniversityMelbourneVictoriaAustralia

wind energy has been increasingly adopted to mitigate climate ***,the variability of wind energy causes wind curtailment,resulting in considerable economic losses for wind farm *** curtailment can be reduced using battery energy storage systems(BESS)as onsite backup ***,this auxiliary role may significantly weaken the economic potential of BESS in energy *** BESS scheduling should balance onsite wind curtailment reduction and market bidding,but practical implementation is challenging due to coordination complexity and the stochastic nature of energy prices and wind *** investigate the joint-market bidding strategy of a co-located wind-battery system in the spot and Regulation Frequency Control Ancillary Service *** propose a novel deep reinforcement learning-based approach that decouples the system’s market participation into two related Markov decision processes for each facility,enabling the BESS to absorb onsite wind curtailment while performing joint-market bidding to maximize overall operational *** realistic wind farm data,we validated the coordinated bidding strategy,with outcomes surpassing the optimization-based benchmark in terms of higher revenue by approximately 25%and more wind curtailment reduction by 2.3 *** results show that joint-market bidding can significantly improve the financial performance of wind-battery systems compared to participating in each market *** also show that using curtailed wind generation as a power source for charging the BESS can lead to additional financial *** successful implementation of our algorithm would encourage co-location of generation and storage assets to unlock wider system benefits.

关键词： wind-battery system wind curtailment Electricity market Deep reinforcement learning

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