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题名: Genetic based reinforcement learning load control for smart grids
作者: 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: Advanced Materials Research
会议录出版者: Trans Tech Publications
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2013
页码: 2423-2426
收录类别: EI
ISSN号: 1022-6680
ISBN号: 9783037859728
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
产权排序: 2
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/14579
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
李鑫; Yu, Dan; 臧传治.Genetic based reinforcement learning load control for smart grids.见:Trans Tech Publications.Advanced Materials Research,Zurich-Durnten, Switzerland,2013,2423-2426
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