Genetic based reinforcement learning load control for smart grids

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Genetic based reinforcement learning load control for smart grids
	Li X(李鑫); Yu, Dan; Zang CZ(臧传治)
	2013
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
关键词	Electric frequency control Press load control Reinforcement learning Sustainable development
页码	2423-2426
中文摘要	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.
收录类别	EI
产权排序	2
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications
会议录出版地	Zurich-Durnten, Switzerland
语种	英语
ISSN号	1022-6680
ISBN号	978-3-03785-972-8
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/14579]
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,Yu, Dan,Zang CZ. Genetic based reinforcement learning load control for smart grids[C]. 见:3rd International Conference on Energy, Environment and Sustainable Development, EESD 2013. Shanghai, China. November 12-13, 2013.