Multi-objective Operation of Community Integrated Energy Systems Based on NSGA-II

The operation of community integrated energy systems (CIES) usually involves several optimal objectives and decision variables. Traditional evolutionary methods are difficult to solve the multi-objective optimization with large number of variables to be optimized. In this paper, an optimal CIES dispatching method based on NSGA-II is proposed for the multiple-objective operation. Objective functions are selected as decision variables and NSGA-II is used to obtain the objective values of Pareto optimal points. The Branch and Bound (BB) algorithm is adopted to determine the corresponding feasible solutions. The final operation strategy is chosen from the Pareto optimal points according to a typical principle with the minimum Euclidean distance. The proposed method can effectively address the multi-objective optimization of CIES with large number of variables. The feasibility and effectiveness of the proposed method are verified by case studies.