A Deep Reinforcement Learning Based Control Strategy for Combined Wind Energy Storage System
2021 IEEE Sustainable Power and Energy Conference (iSPEC)(2021)
摘要
For renewable energy producers, the uncertainties of power generation and time-varying electricity prices may lead to economic losses. This paper proposes a deep reinforcement learning (DRL) based control model combined energy storage system (ESS) to maximize the income of the wind power producer. It is able to adapt the uncertainties by itself that can avoid the errors caused by modeling the unce...
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关键词
Adaptation models,Renewable energy sources,Uncertainty,Wind energy,Heuristic algorithms,Reinforcement learning,Wind power generation
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