Optimal coalition formation and maximum profit allocation for distributed energy resources in smart grids based on cooperative game theory

Moafi, Milad, Ardshiri, Reza Rouhi, Mudiyanselage, Dinithi Wijesooriya, Marzband, Mousa, Abusorrah, Abdullah, Rawa, Muhyaddin and Guerrero, Josep M. (2023) Optimal coalition formation and maximum profit allocation for distributed energy resources in smart grids based on cooperative game theory. International Journal of Power and Energy Systems, 144. p. 108492. ISSN 1078-3466

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Official URL: https://doi.org/10.1016/j.ijepes.2022.108492


Over the past decades, significant revolutions have occurred on electricity market to reduce the electricity cost and increase profits. In particular, the novel structures facilitate the electricity manufacturers to participate in the market and earn more profit by cooperate with other producers. This paper presents a three-level gameplay-based intelligent structure to evaluate individual and collaborative strategies of electricity manufacturers, considering network and physical constraints. At the Level , the particle swarm optimization (PSO) algorithm is implemented to determine the optimum power of distributed energy resources (DERs) in the power grid, to maximize the profits. Further, the fuzzy logic algorithm is applied to model the intermittent nature of the renewable sources and implement load demand in the power grid. At the Level , DERs are classified into two different fuzzy logic groups to secure the fairness between every participant. Finally, at the Level , the DERs in each group are combined each other by cooperative game theory-based algorithms to increase the coalition profits. Thereafter, Shapley, Nucleolus, and merge/split methods are applied to allocate a fair profit allocation by coalition formation. Ultimately, the results verify the proposed model influence electric players to find effective collaborative strategies under different conditions and environments.

Item Type: Article
Additional Information: Funding information: The Authors acknowledge the support provided by King Abdullah City for Atomic and Renewable Energy (K.A.CARE) under K.A.CARE-King Abdulaziz University Collaboration Program. The authors are also thankful to Deanship of Scientific Research, King Abdulaziz University, Saudi Arabia for providing financial support vide grant number (RG-37-135-42). In addition, this work was supported from DTE Network+ funded by EPSRC, UK grant reference EP/S032053/1.
Uncontrolled Keywords: Shapley value, profit allocation, Nucleolus, Merge and Split, cooperative game theory, smart grid, electricity energy market, coalition formation and competition
Subjects: H100 General Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 03 Aug 2022 13:18
Last Modified: 03 Oct 2022 13:30
URI: https://nrl.northumbria.ac.uk/id/eprint/49720

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