Computational investigation of residential users through load aggregator smart grid power optimization problem via mean field game theory

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Incentive-based demand response aggregators are widely recognized as a powerful strategy to increase the flexibility of residential community microgrid (RCM) while allowing consumers' assets to participate in the power system operation in critical peak times. This paper presents the computational investigation for an incentive-based residential community (Aziz et al., 2023), where an incentive-based pricing mechanism is adopted to encourage peak demand reduction and share the incentive demand curve with the residential community through the aggregator. Nash Equilibrium strategies, which minimize the total RCM energy cost functions, are found by applying mean field game theory. Computational investigations of the decentralized RCM electric energy problem via mean field game theory are presented for the MG with controllable load household and connected to a main grid with an incentive-based pricing strategy.

, 15 pages

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