Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids

Microgrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P)...

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Main Authors: Peishuai Li, Yihan Wang, Tao Zheng, Yulong Jin, Weizhi Yuan, Wenwen Guo
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:Global Energy Interconnection
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Online Access:http://www.sciencedirect.com/science/article/pii/S2096511725000428
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author Peishuai Li
Yihan Wang
Tao Zheng
Yulong Jin
Weizhi Yuan
Wenwen Guo
author_facet Peishuai Li
Yihan Wang
Tao Zheng
Yulong Jin
Weizhi Yuan
Wenwen Guo
author_sort Peishuai Li
collection DOAJ
description Microgrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P) energy trading and network operation for an ADN integrated with multiple microgrids (MMGs). A framework that optimizes P2P energy trading among MMGs and ADN operations was first established. Subsequently, an energy management model that aims to minimize the operation and energy trading costs was constructed for each MG. Accordingly, the MMGs’ cooperative game model was established based on Nash bargaining theory to incentivize each stakeholder to participate in P2P energy trading, and a distributed solution method based on the alternating direction method of multipliers was developed. Moreover, an algorithm that adjusts the amount of energy trading between the ADN and MG is proposed to ensure safe operation of the distribution network. With the communication between the MG and ADN, the MMGs’ P2P trading and ADN operations are optimized in a coordinated manner. Finally, numerical simulations were conducted to verify the accuracy and effectiveness of the proposed method.
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institution Kabale University
issn 2096-5117
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publishDate 2025-06-01
publisher KeAi Communications Co., Ltd.
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series Global Energy Interconnection
spelling doaj-art-2e9321e0d3d445fcb74fa8fe7e9f6d962025-08-20T03:24:26ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172025-06-018347448510.1016/j.gloei.2025.01.007Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgridsPeishuai Li0Yihan Wang1Tao Zheng2Yulong Jin3Weizhi Yuan4Wenwen Guo5Nanjing University of Science & Technology, Nanjing, China; State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks, Nari Technology Co. Ltd., Nanjing, China; Corresponding author at: State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks, Nari Technology Co. Ltd., Nanjing, China.Nanjing University of Science & Technology, Nanjing, ChinaState Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks, Nari Technology Co. Ltd., Nanjing, ChinaState Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks, Nari Technology Co. Ltd., Nanjing, ChinaNanjing University of Science & Technology, Nanjing, ChinaNanjing University of Science & Technology, Nanjing, ChinaMicrogrids (MGs) and active distribution networks (ADNs) are important platforms for distributed energy resource (DER) consumption. The increasing penetration of DERs has motivated the development ADNs coupled with MGs. This paper proposes a distributed co-optimization method for peer-to-peer (P2P) energy trading and network operation for an ADN integrated with multiple microgrids (MMGs). A framework that optimizes P2P energy trading among MMGs and ADN operations was first established. Subsequently, an energy management model that aims to minimize the operation and energy trading costs was constructed for each MG. Accordingly, the MMGs’ cooperative game model was established based on Nash bargaining theory to incentivize each stakeholder to participate in P2P energy trading, and a distributed solution method based on the alternating direction method of multipliers was developed. Moreover, an algorithm that adjusts the amount of energy trading between the ADN and MG is proposed to ensure safe operation of the distribution network. With the communication between the MG and ADN, the MMGs’ P2P trading and ADN operations are optimized in a coordinated manner. Finally, numerical simulations were conducted to verify the accuracy and effectiveness of the proposed method.http://www.sciencedirect.com/science/article/pii/S2096511725000428Peer-to-peer energy tradingGame theoryDistributed algorithmDistribution network operation
spellingShingle Peishuai Li
Yihan Wang
Tao Zheng
Yulong Jin
Weizhi Yuan
Wenwen Guo
Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
Global Energy Interconnection
Peer-to-peer energy trading
Game theory
Distributed algorithm
Distribution network operation
title Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
title_full Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
title_fullStr Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
title_full_unstemmed Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
title_short Coordinated optimization of P2P energy trading and network operation for active distribution network with multi-microgrids
title_sort coordinated optimization of p2p energy trading and network operation for active distribution network with multi microgrids
topic Peer-to-peer energy trading
Game theory
Distributed algorithm
Distribution network operation
url http://www.sciencedirect.com/science/article/pii/S2096511725000428
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