Economic Research on Optimal Dispatching of Optical Storage Power Station Based on Particle Swarm Optimization Algorithm Under Maximum Output Mode

Photovoltaic storage combined power generation is an important solution to improve the grid connection capacity of centralized photovoltaic power generation, and is the development direction of future photovoltaic power plants. This paper investigates the adaptability of power generation and scheduling in conjunction with storage, focusing on the optimization of power station dispatch under the maximum output mode. This paper established a model for the maximum net revenue of a photovoltaic power station as the objective function with the aim of maximizing its profitability. The model includes the revenue from selling electricity, the operating loss cost of energy storage batteries, the cost of discarding light, and the cost of power shortage to calculate the actual grid connection revenue. Based on the measured data of photovoltaic power plants, a simulation model was built in MATLAB software. The simulation results showed that using the maximum net profit model to optimize energy storage capacity can effectively improve the net profit level of photovoltaic power plants, while also significantly improving power quality.