Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration
文献类型：期刊论文
| 作者 | Wang, Tonghe2; Liang, Hong3; He, Bo4; Hua, Haochen5; Qin, Yuchao1; Cao, Junwei6; Objectives, D. Control |
| 刊名 | CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 10期号:5页码:1911-1924 |
| 关键词 | Index Terms Battery degradation compressive sensing consensus distributed control multi-microgrid. |
| ISSN号 | 2096-0042 |
| DOI | 10.17775/CSEEJPES.2021.03180 |
| 通讯作者 | Cao, Junwei(jcao@tsinghua.edu.cn) |
| 英文摘要 | has been widely used in distributed control, where distributed individuals need to share their states with their neighbors through communication links to achieve a common goal. However, the objectives of existing consensus-based control strategies for energy systems seldom address battery degradation cost, which is an important performance indicator to assess the performance and sustainability of battery energy storage (BES) systems. In this paper, we propose a consensusbased optimal control strategy for multi-microgrid systems, aiming at multiple control objectives including minimizing battery degradation cost. Distributed consensus is used to synchronize the ratio of BES output power to BES state-of-charge (SoC) among all microgrids while each microgrid is trying to reach its individual optimality. In order to reduce the pressure of communication links and prevent excessive exposure of local information, this ratio is the only state variable shared between microgrids. Since our complex nonlinear problem might be difficult to solve by traditional methods, we design a compressive sensing-based gradient descent (CSGD) method to solve the control problem. Numerical simulation results show that our control strategy results in a 74.24% reduction in battery degradation cost on average compared to the control method without considering battery degradation. In addition, the compressive sensing method causes an 89.12% reduction in computation time cost compared to the traditional Monte Carlo (MC) method in solving the control problem. |
| WOS关键词 | ENERGY MANAGEMENT ; INTEGRATED ELECTRICITY ; TRANSIENT STABILITY ; POLYNOMIAL CHAOS ; REACTIVE POWER ; INTERNET ; VOLTAGE ; COST ; EXPANSIONS ; ALGORITHM |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001335671700006 |
| 出版者 | CHINA ELECTRIC POWER RESEARCH INST |
| 源URL | [http://ir.giec.ac.cn/handle/344007/43251]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Cao, Junwei |
| 作者单位 | 1.Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge CB3 0WA, England 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 3.Meihua Holdings Grp Co Ltd, Langfang 065001, Peoples R China 4.Space Engn Univ, Dept Astronaut Sci & Technol, Beijing 101416, Peoples R China 5.Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Peoples R China 6.Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Tonghe,Liang, Hong,He, Bo,et al. Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration[J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS,2024,10(5):1911-1924. |
| APA | Wang, Tonghe.,Liang, Hong.,He, Bo.,Hua, Haochen.,Qin, Yuchao.,...&Objectives, D. Control.(2024).Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration.CSEE JOURNAL OF POWER AND ENERGY SYSTEMS,10(5),1911-1924. |
| MLA | Wang, Tonghe,et al."Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration".CSEE JOURNAL OF POWER AND ENERGY SYSTEMS 10.5(2024):1911-1924. |
入库方式： OAI收割
来源：广州能源研究所
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