Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game

The peer-to-peer (P2P) energy trading among microgrids (MGs) can promote the renewable energy accommodation of network while maximizing the benefits of their own. However, unregulated trade behavior may cause network congestion which affect the safe and stable operation of the system. To this end, t...

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Autores principales:	Xiaoyu Wang, Tao Xu, Yunfei Mu, Zibo Wang, Youjun Deng, Tao Zhang, Qian Jiang, Yaqing Zhang, Hongjie Jia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Microgrid Peer-to-peer (P2P) energy trading Congestion management Shapley value Congestion price coefficient Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2363a01c4aa34c379a98498323a6a3f6
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spelling	oai:doaj.org-article:2363a01c4aa34c379a98498323a6a3f62021-12-04T04:35:06ZCongestion management under peer-to-peer energy trading scheme among microgrids through cooperative game2352-484710.1016/j.egyr.2021.11.130https://doaj.org/article/2363a01c4aa34c379a98498323a6a3f62022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721012774https://doaj.org/toc/2352-4847The peer-to-peer (P2P) energy trading among microgrids (MGs) can promote the renewable energy accommodation of network while maximizing the benefits of their own. However, unregulated trade behavior may cause network congestion which affect the safe and stable operation of the system. To this end, this paper proposes an effective congestion management method under P2P energy trading of MGs based on cooperative game strategy. For a congestion caused by several MGs, the Shapley value is firstly used to allocate the congestion marginal contribution. Then, a congestion price coefficient is optimally determined by minimizing the overall congestion cost while maximizing the overall revenue of all MGs, the MGs who are cost-sensitive are advised to make a change on their trading scheme. Taking a system composed of 4 MGs as an example, simulation study is finally conducted to validate the effectiveness and applicability of the proposed methods.Xiaoyu WangTao XuYunfei MuZibo WangYoujun DengTao ZhangQian JiangYaqing ZhangHongjie JiaElsevierarticleMicrogridPeer-to-peer (P2P) energy tradingCongestion managementShapley valueCongestion price coefficientElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 59-66 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microgrid Peer-to-peer (P2P) energy trading Congestion management Shapley value Congestion price coefficient Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Microgrid Peer-to-peer (P2P) energy trading Congestion management Shapley value Congestion price coefficient Electrical engineering. Electronics. Nuclear engineering TK1-9971 Xiaoyu Wang Tao Xu Yunfei Mu Zibo Wang Youjun Deng Tao Zhang Qian Jiang Yaqing Zhang Hongjie Jia Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
description	The peer-to-peer (P2P) energy trading among microgrids (MGs) can promote the renewable energy accommodation of network while maximizing the benefits of their own. However, unregulated trade behavior may cause network congestion which affect the safe and stable operation of the system. To this end, this paper proposes an effective congestion management method under P2P energy trading of MGs based on cooperative game strategy. For a congestion caused by several MGs, the Shapley value is firstly used to allocate the congestion marginal contribution. Then, a congestion price coefficient is optimally determined by minimizing the overall congestion cost while maximizing the overall revenue of all MGs, the MGs who are cost-sensitive are advised to make a change on their trading scheme. Taking a system composed of 4 MGs as an example, simulation study is finally conducted to validate the effectiveness and applicability of the proposed methods.
format	article
author	Xiaoyu Wang Tao Xu Yunfei Mu Zibo Wang Youjun Deng Tao Zhang Qian Jiang Yaqing Zhang Hongjie Jia
author_facet	Xiaoyu Wang Tao Xu Yunfei Mu Zibo Wang Youjun Deng Tao Zhang Qian Jiang Yaqing Zhang Hongjie Jia
author_sort	Xiaoyu Wang
title	Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
title_short	Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
title_full	Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
title_fullStr	Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
title_full_unstemmed	Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
title_sort	congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/2363a01c4aa34c379a98498323a6a3f6
work_keys_str_mv	AT xiaoyuwang congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT taoxu congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT yunfeimu congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT zibowang congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT youjundeng congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT taozhang congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT qianjiang congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT yaqingzhang congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame AT hongjiejia congestionmanagementunderpeertopeerenergytradingschemeamongmicrogridsthroughcooperativegame
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Congestion management under peer-to-peer energy trading scheme among microgrids through cooperative game

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