Multi-objective Optimal Operation of Microgrid Based on NSGA-III Algorithm

With the rapid development of the regional comprehensive energy Internet, the reasonable and efficient arrangement of units between the power generation equipment and the electricity load in the microgrid has become a hot issue in current research. On the premise of ensuring the safe and reliable operation of the microgrid system, it is hoped that the loss of wind power and photovoltaics in the microgrid can be reduced and economic benefits can be improved. To achieve this goal, this paper constructs the microgrid optimization model including micro gas turbine, fuel cell, energy storage device, wind power generation and photovoltaic power generation. In terms of algorithm, Non-dominated Sorting Genetic Algorithm III (NSGA-III) is adopted to obtain the microgrid scheduling scheme with maximum integral benefit on the premise of meeting the constraints. The simulation results show that the scheme obtained by the algorithm can achieve the highest energy utilization of the microgrid system and improve the economic benefits of the system.