Adaptive dynamic programming for residential energy scheduling with solar energy

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Adaptive dynamic programming for residential energy scheduling with solar energy
	Xu YC(徐延才)1 ; Liu DR(刘德荣)1,2; Wei QL(魏庆来)1 ; Luo B(罗彪)1 ; Yancai Xu
	2016-09-29
会议名称	12th World Congress on Intelligent Control and Automation
会议日期	12-15 June 2016
会议地点	Guilin, China
摘要	Residential energy scheduling on demand side is a hot research area for saving energy and balancing loads. In this paper, an adaptive dynamic programming method is proposed for residential energy scheduling to reduce cost between two adjacent housing units. Two sets of storage batteries and solar stations make energy scheduling problems quite complicated while using traditional methods. The scheduling algorithm is designed based on action dependent heuristic dynamic programming. In the utility function, the weighting function is given to adjust the remaining capacities of batteries. Furthermore, the temperature becomes an input of neural networks to stay close to reality. Simulation results show the effectiveness of saving cost and balancing loads.
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20373
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Yancai Xu
作者单位	1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.School of Automation and Electrical Engineering, University of Science and Technology Beijing
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xu YC,Liu DR,Wei QL,et al. Adaptive dynamic programming for residential energy scheduling with solar energy[C],2016.

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