Study on the Optimal Allocation of Energy Storage Capacity for Stand-Alone Photovoltaic Power Generation System Based on Improved Particle Swarm Algorithm

With the rapid advancement of renewable energy, photovoltaic power generation has become a crucial global source of electricity. However, the temporal and fluctuating nature of light conditions presents a challenge in terms of energy storage needs for photovoltaic systems. Addressing this issue, standalone photovoltaic systems require efficient energy storage configurations to ensure the stability and reliability of power supply. Enhanced Particle Swarm Optimization, owing to its formidable optimization capabilities, emerges as an ideal choice for optimizing energy storage capacity. Against this backdrop, the optimization of photovoltaic-storage system models not only facilitates the implementation of economically viable energy storage solutions but also propels the sustainable development of renewable energy, thereby holding significant implications for achieving carbon neutrality.