Wind power bidding coordinated with energy storage system operation in real-time electricity market: A maximum entropy deep reinforcement learning approach

Author:

Wei Xiangyu,Xiang Yue,Li JunlongORCID,Liu Junyong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy

Reference9 articles.

1. Sizing energy storage based on a life-cycle saving dispatch strategy to support frequency stability of an isolated system with wind farms;Yi;IEEE Access,2019

2. Short-term wind power prediction based on extreme learning machine with error correction;Zhi;Prot Control Mod Power Syst,2016

3. C. Shuiyao, C. Wenjin, H. Xu, et al. Stochastic dispatching of wind power considering errors of power prediction. In: 5th international conference on energy equipment science and engineering. 2019, 11.29-12.01.

4. A fuzzy adaptive probabilistic wind power prediction framework using diffusion kernel density estimators;Khorramdel;IEEE Trans Power Syst,2018

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