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Genetic based reinforcement learning load control for smart grids
Li X(李鑫); Yu, Dan; Zang CZ(臧传治)
作者部门工业控制网络与系统研究室
会议名称3rd International Conference on Energy, Environment and Sustainable Development, EESD 2013
会议日期November 12-13, 2013
会议地点Shanghai, China
会议录名称Advanced Materials Research
出版者Trans Tech Publications
出版地Zurich-Durnten, Switzerland
2013
页码2423-2426
收录类别EI
EI收录号20140217180407
产权排序2
ISSN号1022-6680
ISBN号978-3-03785-972-8
关键词Electric Frequency Control Press Load Control Reinforcement Learning Sustainable Development
摘要As the improvement of smart grids, the customer participation has reinvigorated interest in demand-side features such as load control for domestic users. A genetic based reinforcement learning (RL) load controller is proposed. The genetic is used to adjust the parameters of the controller. The RL algorithm, which is independent of the mathematic model, shows the particular superiority in load control. By means of learning procedures, the proposed controller can learn to take the best actions to regulate the energy usage for equipments with the features of high comfortable for energy usage and low electric charge meanwhile. Simulation results show that the proposed load controller can promote the performance energy usage in smart grids.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/14579
专题工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Li X,Yu, Dan,Zang CZ. Genetic based reinforcement learning load control for smart grids[C]. Zurich-Durnten, Switzerland:Trans Tech Publications,2013:2423-2426.
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