Genetic Based Fuzzy Q-Learning Energy Management for Smart Grid
文献类型：会议论文
| 作者 | Li X(李鑫); Zang CZ(臧传治) ; Zeng P(曾鹏); Yu HB(于海斌)
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| 出版日期 | 2012 |
| 会议名称 | 2012 31th Chinese Control Conference |
| 会议日期 | July 25-27, 2012 |
| 会议地点 | Hefei, China |
| 关键词 | Demand response Q-learning fuzzy inference system genetic operator |
| 页码 | 6924-6927 |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 2 |
| 会议主办者 | Technical Committee on Control Theory,Chinese Association of Automation |
| 会议录 | Proceedings of the 31st Chinese Control Conference
 |
| 会议录出版者 | Chinese Association of Automation |
| 会议录出版地 | Beijing |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/10238]  |
| 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,Zeng P,et al. Genetic Based Fuzzy Q-Learning Energy Management for Smart Grid[C]. 见:2012 31th Chinese Control Conference. Hefei, China. July 25-27, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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