Optimal Sizing and Profit Maximization of Clustered Microgrid using Game Theory Techniques

This paper proposes two different techniques of cooperative game theory to optimize the sizes of generation resources and batteries, and maximize the profit of clustered microgrid in grid-connected mode. To design the clustered system various combinations of generation resources like wind turbines and photovoltaic panels are made with batteries, and linked electric load and main grid. The optimization of generation resources and batteries will be carried out using game theory technique Nash equilibrium, and Shapely values are used to get maximum profit of selected clustered microgrid. An algorithm is developed to implement game theory techniques using a Particle Swarm Optimization (PSO) in MATLAB.