Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions

In this paper, we propose a multi-objective sizing optimization method to optimize the economy-environmental comprehensive benefits of the grid-connected microgrid. To be specific, we combine the comprehensive cost function and the pollutant emissions by CO2 (PEC) function of the grid-connected microgrid to construct the economy-environmental multi-objective optimization model. In order to effectively solve the multi-objective optimization model, a self-adaptive multi-objective genetic algorithm (SAMOGA) based on the pre-grouped roulette algorithm, adaptive crossover and mutation probabilities is proposed. Simulation experiments show the optimal results which are on the Pareto optimal front solved by SAMOGA under various circumstances. The optimal results reflect the restrictive relationship between comprehensive cost and carbon emissions, which means that the final sizing scheme of the microgrid can be determined with full consideration of the objectives.