Capacity Optimization in Multi-Energy Complementary Systems For Enhaced Wind-Solar Utilization

Establishing a new power system dominated by renewable energy is an inevitable trend in energy development. However, the intermittent nature of wind and photovoltaic (PV) generation presents challenges that limit the efficiency of energy absorption. In order to improve the absorption rate of wind and PV power generation, a capacity configuration method for multi-energy complementary systems is proposed to maximize wind-PV absorption rate by adopting a wind-PV-thermalhydrogen storage complementary scheme. First, the mathematical model of the multi-energy complementary system is constructed, which is comprised of different power generation modules and an energy storage module. Second, an explicit optimization mathematical model is designed, taking the minimum daily excess electricity percentage of the system as the objective function, with constraints of wind-PV output power and energy storage operating states, besides, the network search method is employed to optimize the capacity configuration for the multi-energy complementary system, determining the number of wind turbines, the installed capacity of PV panels, and the capacity of lithium-ion batteries. The Hebei University of Technology campus is taken as a case study for the optimal analysis. The results demonstrate that by utilizing the proposed method, the share of renewable energy generation in the optimized system increased by $14.95 \%$, reaching $78.25 \%$. Its economic indicator is also superior to the other systems.