dc.contributor.author |
Zhu, H
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dc.contributor.author |
Ouahada, K
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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dc.date.accessioned |
2023-05-12T09:54:51Z |
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dc.date.available |
2023-05-12T09:54:51Z |
|
dc.date.issued |
2022-12 |
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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 |
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dc.identifier.uri |
DOI: 10.1109/ACCESS.2022.3226625
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dc.identifier.uri |
http://hdl.handle.net/10204/12769
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|
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 -
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en_ZA |
dc.identifier.worklist |
26516 |
en_US |