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AuthorAli, Liaqat
AuthorAzim, M. Imran
AuthorBhandari, Vivek
AuthorMenon, Anand
AuthorTiwari, Vinod
AuthorGreen, Jemma
AuthorBizhani, Hamed
AuthorMuyeen, S. M.
Available date2023-02-27T07:10:01Z
Publication Date2022-01-01
Publication Name10th International Conference on Smart Grid, icSmartGrid 2022
Identifierhttp://dx.doi.org/10.1109/icSmartGrid55722.2022.9848556
CitationAli, L., Azim, M. I., Bhandari, V., Menon, A., Tiwari, V., Green, J., ... & Muyeen, S. M. (2022, June). P2P as a smarter way of energy trading: A game theoretic case study for multi-microgrids. In 2022 10th international conference on smart grid (IcSmartGrid) (pp. 285-289). IEEE.‏
ISBN9781665486040
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137749293&origin=inward
URIhttp://hdl.handle.net/10576/40411
AbstractThis paper focuses on performing peer-To-peer (P2P) energy trading in a grid-Tied multi-microgrid system (MMS). To do so, three microgrids, each consisting of distributed energy resources (DERs) such as wind turbines (WTs), solar photovoltaic (PV) systems, and battery storage systems, are considered. A game theory-based structure, supported by the Nash equilibrium, is then formulated to derive, and solve the multi-objective function (MoF) with the intention of allocating the correct sizing of each DER and finding out the optimum payoff values. The proposed optimisation model is also integrated with reliability index (IR) and levelised cost of energy (LCOE) in order to cut down the energy costs during intermittent periods of DERs. The developed framework is analysed and compared with other benchmark techniques on particle swarm optimisation (PSO) algorithm-facilitated MATLAB environment to conduct both P2P and peer-To-grid (P2G) energy trading. The simulation results: 1) verify the proposed MOF against various constant coefficients' combination, and 2) determine the most financially viable model for each DER through sensitivity analysis.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcooperative game
multi-microgrids
Nash equilibrium
P2G trading
P2P trading
TitleP2P as a Smarter Way of Energy Trading: A Game Theoretic Case Study for Multi-microgrids
TypeConference Paper
Pagination285-289
dc.accessType Abstract Only


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