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Genetic Based Fuzzy Q-Learning Energy Management for Smart Grid
Li X(李鑫); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌)
作者部门工业控制网络与系统研究室
会议名称2012 31th Chinese Control Conference
会议日期July 25-27, 2012
会议地点Hefei, China
会议主办者Technical Committee on Control Theory,Chinese Association of Automation
会议录名称Proceedings of the 31st Chinese Control Conference
出版者Chinese Association of Automation
出版地Beijing
2012
页码6924-6927
收录类别EI
EI收录号20130716024660
产权排序2
关键词Demand Response Q-learning Fuzzy Inference System Genetic Operator
摘要For the energy management problems for demand response in electricity grid, a genetic 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 has good performance. The fuzzy inference is introduced in order to facilitate generalization in large state space, and the genetic operators are used to obtain the consequent parts of fuzzy rules. 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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10238
专题工业控制网络与系统研究室
通讯作者Li X(李鑫)
作者单位1.Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang 110044, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
推荐引用方式
GB/T 7714
Li X,Zang CZ,Zeng P,et al. Genetic Based Fuzzy Q-Learning Energy Management for Smart Grid[C]//Technical Committee on Control Theory,Chinese Association of Automation. Beijing:Chinese Association of Automation,2012:6924-6927.
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