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	Improved Wind Power and Storage System Smoothing Control Strategy Based on RE Reinforcement Learning and Low Pass Filtering Algorithms
	Lin Zhenyu; Qiu Gao; Wang Gang; Jiang Runzhou
刊名	2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)
	2014
页码	1749-1753
关键词	Battery Energy Storage System State of Charge Smoothing Power Fluctuations Reinforcement Learning Low-Pass Filtering Algorithm
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/1845403
专题	四川大学
作者单位	1.USA 2.Sichuan Univ, Sch Elect Engn & Informat, Chengdu 610065, CO, Peoples R China 3.Arizona State Univ, Phoenix, CO
推荐引用方式 GB/T 7714	Lin Zhenyu,Qiu Gao,Wang Gang,et al. Improved Wind Power and Storage System Smoothing Control Strategy Based on RE Reinforcement Learning and Low Pass Filtering Algorithms[J]. 2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON),2014:1749-1753.
APA	Lin Zhenyu,Qiu Gao,Wang Gang,&Jiang Runzhou.(2014).Improved Wind Power and Storage System Smoothing Control Strategy Based on RE Reinforcement Learning and Low Pass Filtering Algorithms.2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON),1749-1753.
MLA	Lin Zhenyu,et al."Improved Wind Power and Storage System Smoothing Control Strategy Based on RE Reinforcement Learning and Low Pass Filtering Algorithms".2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) (2014):1749-1753.

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