Management of Grid-Connected Micro-grid Using Game Theory Approach

A micro-grid consists of distributed energy resources (such as solar PV, Wind turbine, and fuel cell), interconnected load and storage sources. For the micro-grid to achieve better economic outcomes, the connected homes need to cooperate in order to obtain mutual benefit. Therefore, a method based on cooperative game theory, the generalized Nash bargaining solution is proposed. The novelty of the proposed method lies in the new profit distribution to favour certain participant by specifying different values of the negotiation power in the objective function. To demonstrate the effectiveness of the proposed work, a case study of 6 sites (buildings of different types, which may be shops, dwelling places and schools with their micro-sources results in micro-grid) is presented. A solution approach based on Teaching-Learning-based Optimization (TLBO) is proposed to achieve optimal results. To validate the feasibility of the method, the results obtained TLBO were compared with genetic algorithm (GA), which shows that the TLBO method is robust and capable of giving quality solution efficiently in solving energy management problem.