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Transmission loss-aware peer-to-peer energy trading in networked microgrids

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dc.contributor.author Zhu, H
dc.contributor.author Ouahada, K
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2023-05-12T09:54:51Z
dc.date.available 2023-05-12T09:54:51Z
dc.date.issued 2022-12
dc.identifier.citation Zhu, H., Ouahada, K. & Abu-Mahfouz, A.M. 2022. Transmission loss-aware peer-to-peer energy trading in networked microgrids. <i>IEEE Access, 10.</i> http://hdl.handle.net/10204/12769 en_ZA
dc.identifier.issn 2169-3536
dc.identifier.uri DOI: 10.1109/ACCESS.2022.3226625
dc.identifier.uri http://hdl.handle.net/10204/12769
dc.description.abstract Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9969600?denied= en_US
dc.source IEEE Access, 10 en_US
dc.subject Energy management en_US
dc.subject Energy storage management en_US
dc.subject Energy trading en_US
dc.subject Lyapunov optimization en_US
dc.subject Matching theory en_US
dc.subject Microgrids en_US
dc.subject Smartgrids en_US
dc.title Transmission loss-aware peer-to-peer energy trading in networked microgrids en_US
dc.type Article en_US
dc.description.pages 126352-126369 en_US
dc.description.note This work is licensed under a Creative Commons Attribution 4.0 License. en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Zhu, H., Ouahada, K., & Abu-Mahfouz, A. M. (2022). Transmission loss-aware peer-to-peer energy trading in networked microgrids. <i>IEEE Access, 10</i>, http://hdl.handle.net/10204/12769 en_ZA
dc.identifier.chicagocitation Zhu, H, K Ouahada, and Adnan MI Abu-Mahfouz "Transmission loss-aware peer-to-peer energy trading in networked microgrids." <i>IEEE Access, 10</i> (2022) http://hdl.handle.net/10204/12769 en_ZA
dc.identifier.vancouvercitation Zhu H, Ouahada K, Abu-Mahfouz AM. Transmission loss-aware peer-to-peer energy trading in networked microgrids. IEEE Access, 10. 2022; http://hdl.handle.net/10204/12769. en_ZA
dc.identifier.ris TY - Article AU - Zhu, H AU - Ouahada, K AU - Abu-Mahfouz, Adnan MI AB - Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system. DA - 2022-12 DB - ResearchSpace DP - CSIR J1 - IEEE Access, 10 KW - Energy management KW - Energy storage management KW - Energy trading KW - Lyapunov optimization KW - Matching theory KW - Microgrids KW - Smartgrids LK - https://researchspace.csir.co.za PY - 2022 SM - 2169-3536 T1 - Transmission loss-aware peer-to-peer energy trading in networked microgrids TI - Transmission loss-aware peer-to-peer energy trading in networked microgrids UR - http://hdl.handle.net/10204/12769 ER - en_ZA
dc.identifier.worklist 26516 en_US


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