Micro Grid Scheduling Optimization Model Based on Multi-objective Genetic Algorithm

In order to achieve the goal of economic and environmental mutual optimization of micro-grid system operation, a general model of multi-objective dynamic optimal scheduling is established, which takes the independent system simulation module and the operation optimization module as the core. The simulation module uses energy model to evaluate economic and environmental indexes of the system scheduling scheme, operation optimization module uses multi-objective genetic algorithm NSGA-II, and combines with the evaluation results of simulation module scheduling to make optimization. In NSGA-II, the initial point guidance technique and the de-repetition operation are introduced, which greatly improves the convergence performance of the algorithm and the distribution characteristics of the Pareto front. The proposed model and method are applied to the daily optimal scheduling of a typical wind diesel micro-grid system, and the effectiveness of the constructed model and the proposed method is verified.