Design of Multi-objective Optimization Energy Management Strategy Based on Genetic Algorithm for a Hybrid Energy System

This paper proposed an energy management strategy (EMS) based on genetic algorithm (GA) for a hybrid energy system consisting of photovoltaic array (PV), fuel cell, electrolyzer, hydrogen storage system and battery. Considering the economy of the system, the equivalent hydrogen consumption of the system is the main part of the objective function, and the fluctuation of fuel cell output power is employed as an auxiliary part. The simulation is implemented in the MATLAB environment. After verification, the light abandon rates of the system under two different conditions are 0.000557% and 1.38%, respectively, which proves the effectiveness and adaptability of the proposed strategy.