Control Strategy and Performance Analysis of Electrochemical Energy Storage Station Participating in Power System Frequency Regulation: A Case Study of the Jiangsu Power Grid
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- Wu, Wei & Lin, Boqiang, 2018. "Application value of energy storage in power grid: A special case of China electricity market," Energy, Elsevier, vol. 165(PB), pages 1191-1199.
- Hau, Lee Cheun & Lim, Yun Seng & Liew, Serena Miao San, 2020. "A novel spontaneous self-adjusting controller of energy storage system for maximum demand reductions under penetration of photovoltaic system," Applied Energy, Elsevier, vol. 260(C).
- Zhong, Jin & He, Lina & Li, Canbing & Cao, Yijia & Wang, Jianhui & Fang, Baling & Zeng, Long & Xiao, Guoxuan, 2014. "Coordinated control for large-scale EV charging facilities and energy storage devices participating in frequency regulation," Applied Energy, Elsevier, vol. 123(C), pages 253-262.
- Kofinas, P. & Dounis, A.I. & Vouros, G.A., 2018. "Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids," Applied Energy, Elsevier, vol. 219(C), pages 53-67.
- Eric Pareis & Eric Hittinger, 2021. "Emissions Effects of Energy Storage for Frequency Regulation: Comparing Battery and Flywheel Storage to Natural Gas," Energies, MDPI, vol. 14(3), pages 1-19, January.
- Horesh, Noah & Quinn, Casey & Wang, Hongjie & Zane, Regan & Ferry, Mike & Tong, Shijie & Quinn, Jason C., 2021. "Driving to the future of energy storage: Techno-economic analysis of a novel method to recondition second life electric vehicle batteries," Applied Energy, Elsevier, vol. 295(C).
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Keywords
electrochemical energy storage; multi-time-scale application scenarios; automatic generation control; area control error; state of charge; control performance standard;All these keywords.
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