Research on the configuration and operation effect of the hybrid solar-wind-battery power generation system based on NSGA-II

Abstract Wind and solar energy are complementary to each other in time and intensity, and the respectively capacity configurations of wind and solar have a major impact on system stability and initial investment. Previous research on it mainly focused on simulation, neglecting the accuracy of the verification simulation in practical application. This paper summed up the power demand on DC power facilities and AC cooling equipment of mobile base station in a remote small island, and applied the non-dominated sorting genetic algorithm (NSGA-II) to analyze decision variables on the number of wind turbines, PV modules and battery banks with the total system cost (TSC) and the loss of power supply probability (LPSP) as the objective functions. Then the system configuration was optimized in the formed Pareto front. Based on it, the actual hybrid solar-wind-battery power generation system (PV-WT-BS) was built and running effect was tested under four weather conditions. The result showed that three scenarios of strong wind/strong sunshine, strong wind/weak sunshine and weak wind/strong sunshine could meet the load requirements and had some power remaining for the batteries to charge. Only weak wind/weak sunshine generated insufficient power and had to consume the electricity stored in batteries to drive electrical equipment.