A novel energy management method for multiple residential energy systems with energy exchange
文献类型：期刊论文
| 作者 | Li, Hongyang1,2 ; Wei, Qinglai1,2,3
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2024-03-28 |
| 卷号 | 575页码:9 |
| 关键词 | Energy management Multiple residential energy systems Energy optimization of batteries Action-dependent heuristic dynamic programming (ADHDP) |
| ISSN号 | 0925-2312 |
| DOI | 10.1016/j.neucom.2023.127185 |
| 通讯作者 | Wei, Qinglai(qinglai.wei@ia.ac.cn) |
| 英文摘要 | Energy saving and emission reduction are the worldwide outstanding problems in the development of economy and society, which lead to wide attention of residential energy management. This paper presents a novel energy management method for multiple residential energy systems with energy exchange based on action -dependent heuristic dynamic programming (ADHDP). The major contributions are displayed as follows: (1) a novel energy management model is established for multiple residential energy systems with real-time electricity price and time -varying residential loads; (2) a novel ADHDP based energy management method is presented to obtain the energy scheduling scheme of multiple residential energy systems; (3) the continuous control action of the overall system is transformed into discrete control space which avoids training the action network. First, the structure and system models of multiple residential energy systems are introduced, and the energy management problem is formulated. Then, a brief introduction of ADHDP method is provided. Based on this, an energy management method is presented and an effective discretization method of control action is developed for solving the presented energy management problem with less computational burden. Simulation results show that the presented method can reduce the energy cost effectively. Finally, the comparison results verify the superiorities over the traditional energy management methods. |
| WOS关键词 | BATTERY STORAGE ; NETWORKS |
| 资助项目 | National Key R&D Program of China[2021YFE0206100] ; National Natural Science Foundation of China[62073321] ; Science and Technology Development Fund, Macau, SAR[FDCT-22-009-MISE] ; Science and Technology Development Fund, Macau, SAR[0060/2021/A2] ; Science and Technology Development Fund, Macau, SAR[0015/2020/AMJ] ; State Key Laboratory of Rail Traffic Control and Safety[RCS2021K005] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001172438800001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Science and Technology Development Fund, Macau, SAR ; State Key Laboratory of Rail Traffic Control and Safety |
| 源URL | [http://ir.ia.ac.cn/handle/173211/57875]  |
| 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 | Wei, Qinglai |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Macau Univ Sci & Technol, Inst Syst Engn, Taipei 999078, Taiwan |
| 推荐引用方式 GB/T 7714 | Li, Hongyang,Wei, Qinglai. A novel energy management method for multiple residential energy systems with energy exchange[J]. NEUROCOMPUTING,2024,575:9. |
| APA | Li, Hongyang,&Wei, Qinglai.(2024).A novel energy management method for multiple residential energy systems with energy exchange.NEUROCOMPUTING,575,9. |
| MLA | Li, Hongyang,et al."A novel energy management method for multiple residential energy systems with energy exchange".NEUROCOMPUTING 575(2024):9. |
入库方式： OAI收割
来源：自动化研究所
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