中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Metropolis criterion based fuzzy Q-learning energy management for smart grids

文献类型:期刊论文

作者Li X(李鑫); Zang CZ(臧传治); Liu WW(刘文伟); Zeng P(曾鹏); Yu HB(于海斌)
刊名Telkomnika
出版日期2012
卷号10期号:8页码:1956-1962
关键词Consumer behavior
ISSN号2302-4046
产权排序2
通讯作者李鑫
中文摘要For the energy management problems for demand response in electricity grid, a Metropolis Criterion based fuzzy Q-learning consumer energy management controller (CEMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for the consumer behavior in electricity grid. In this case, the Q-learning, which is independent of mathematic model, and prior-knowledge, has good performance. The fuzzy inference and Metropolis Criterion are introduced in order to facilitate generalization in large state space and balance exploration and exploitation in action selection in Q-learning individually. Simulation results show that the proposed controller can learn to take the best action to regulate consumer behavior with the features of low average end-user financial costs and high consumer satisfaction. © 2012 Universitas Ahmad Dahlan.
收录类别EI
语种英语
公开日期2013-04-21
源URL[http://ir.sia.cn/handle/173321/10570]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Li X,Zang CZ,Liu WW,et al. Metropolis criterion based fuzzy Q-learning energy management for smart grids[J]. Telkomnika,2012,10(8):1956-1962.
APA Li X,Zang CZ,Liu WW,Zeng P,&Yu HB.(2012).Metropolis criterion based fuzzy Q-learning energy management for smart grids.Telkomnika,10(8),1956-1962.
MLA Li X,et al."Metropolis criterion based fuzzy Q-learning energy management for smart grids".Telkomnika 10.8(2012):1956-1962.

入库方式: OAI收割

来源:沈阳自动化研究所

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