Optimal Configuration of Multi-energy Capacity Based on Complementary Characteristics of Wind, Solar, Hydro, Thermal, and Battery Energy

To alleviate the disruptive effects of the random-ness in wind and solar energy on the normal operation of a power grid, a multi-objective optimal configuration model for the wind-solar-hydro-thermal-batteiy capacity is first developed based on the complementary characteristics and operation strategies of wind, solar, hydro, thermal and battery. A scaling technique is then introduced to address the large difference in the amplitudes of different objective functions. Finally, a genetic algorithm is employed to solve the optimal configuration problem of wind power, photovoltaic, thernial power and energy storage capacity in a wind-solar-hydro-themial-batteiy power generation system. The numerical results on a case study have validated the feasibility and applicability of the proposed multi-energy complementaiy system optimization configuration model and algorithm.