Economic Optimal Allocation of Photovoltaic Energy Storage System Based on Quantum Particle Swarm Optimization Algorithm

In order to realize the macro control of various load changes in the photovoltaic energy storage system at different times in one day, this paper builds a mathematical model of the photovoltaic energy storage system unit, and establishes an objective function with economic optimizations as the performance index. Under constraints of normal operation of the power grid and the battery, a quantum particle swarm optimization (QPSO) algorithm is utilized to optimize the configuration of the output of the battery and the power grid, meanwhile the optimization solution is verified in the optimization software. The experimental results show that the QPSO algorithm proposed can seek the economic optimal scheme of energy distribution quickly in this region under the condition of ensuring the normal state of battery charging, then provide a feasibility analysis scheme for the energy dispatching in this region.