Optimal design of CCHP microgrid based on multi-objective genetic algorithm

Combination of microgrid and CCHP (Cooling, heating and power supply system) network not only improves the stability of the system and reduces the emission of pollutants from the system, but also improves the utilization efficiency of renewable energy and realizes the cascade utilization of energy. A new multi-objective CCHP micro-grid optimization model based on total investment and environment treatment cost is proposed because of the uncertainty and complexity of each micro-source and microgrid structure, and the multi-objective optimization algorithm of genetic algorithm is used to test the validity and scientificity of the model.