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

Milad Moafi*, Reza Rouhi Ardshiri, Dinithi Wijesooriya Mudiyanselage, Mousa Marzband, Abdullah Abusorrah, Muhyaddin Rawa, Josep M. Guerrero

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)
6 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article number108492
Number of pages15
JournalInternational Journal of Power and Energy Systems
Volume144
Early online date13 Aug 2022
DOIs
Publication statusPublished - 1 Jan 2023

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