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文章摘要
基于谈判博弈的微电网群多主体共享储能容量优化配置策略
Optimal configuration strategy of shared energy storage capacity for micro-grid cluster based on multi-party bargaining game
Received:September 07, 2023  Revised:November 03, 2023
DOI:10.19753/j.issn1001-1390.2024.03.005
中文关键词: 微电网群  能量共享  共享储能  优化配置  谈判博弈
英文关键词: micro-grid cluster, energy sharing, shared energy storage, optimal configuration, bargaining game
基金项目:基金项目:南方电网公司科技项目(030400KK52220004、GDKJXM20220179)。
Author NameAffiliationE-mail
YANG Kun* Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation 2311992043@qq.com 
LIU Tong China Southern Power Grid Research Institute Co., Ltd. 2311992043@qq.com 
BO Lin Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation E-mail:316007859@qq.com 
HOU Zufeng Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation houzufeng198508@163.com 
GUO Xiaoyan Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation 2311992043@qq.com 
ZHOU Cengqi Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation 2311992043@qq.com 
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中文摘要:
      大力发展新能源是构建新型电力系统、推动能源转型的必然选择。文章提出了基于谈判博弈的微电网群多主体共享储能容量优化配置方法。考虑微电网群运营商(MGCO)与共享储能运营商(SESO)之间的协同交互机制,建立基于共享储能的微电网群容量优化框架;考虑微电网之间的能量共享以及共享储能容量租赁,构建考虑能量共享的微电网群容量优化配置模型;计及共享储能动态租赁,构建SESO储能容量优化配置模型;在此基础上,构建基于谈判博弈的MGCO和SESO储能容量配置模型,并提出基于ADMM的分布式求解方法。基于MATLAB进行算例分析,结果表明,所提储能优化配置方法能够在降低MGCO成本的同时提高SESO的收益,达到了双赢的效果。
英文摘要:
      Developing renewable energy vigorously is an inevitable alternative to build a novel type of power system and promote energy transition. An optimal capacity configuration method of shared energy storage for micro-grid cluster with the multi-party bargaining game is proposed in this paper. Considering the collaborative interaction mechanism between micro-grid cluster operator (MGCO) and shared energy storage operator (SESO), a capacity optimization framework of micro-grid cluster with shared energy storage is established. Considering the energy sharing among microgrids and the capacity leasing mechanism of shared energy storage, a capacity optimization model of micro-grid cluster considering energy sharing is constructed. Then, the optimal capacity configuration model of SESO is built with dynamic leasing of shared energy storage. On this basis, an energy storage capacity configuration model for MGCO and SESO based on the bargaining game is established, and a distributed solution method based on ADMM is proposed. Finally, the case analysis is carried out based on MATLAB, and the results show that the proposed energy storage configuration method can reduce the cost of MGCO while improving the benefit of SESO, which achieves a win-win effect.
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