Adaptive dynamic programming for residential energy scheduling with solar energy
文献类型：会议论文
| 作者 | 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
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| 出版日期 | 2016-09-29 |
| 会议日期 | 12-15 June 2016 |
| 会议地点 | Guilin, China |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20373]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 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 |
| 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]. 见:. Guilin, China. 12-15 June 2016. |
入库方式： OAI收割
来源：自动化研究所
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