CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
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
Conference Name12th World Congress on Intelligent Control and Automation
Conference Date12-15 June 2016
Conference PlaceGuilin, China
AbstractResidential 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.
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20373
Collection复杂系统管理与控制国家重点实验室_平行控制
Corresponding AuthorYancai Xu
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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