Power System Load Optimization Dispatching Based on Genetic Algorithm and Particle Swarm Optimization Algorithm

Power system load optimization dispatching is one of the important directions of current power system research, and genetic algorithm(GA) and particle swarm optimization(PSO) algorithm are commonly used optimization algorithms. Traditional dispatching methods cannot meet users' requirements for power quality and power supply reliability. In order to solve the above problems, this article proposes a method combining GA and PSO scheduling. This article adopts the experimental method and comparative method to compare and analyze the application and performance of GA and PSO algorithm in power system, and proposes a power system dispatching that combines the two algorithms to improve economic benefits. The MAPE value of the GA model decreased by 2.9% compared to the DBN model, decreased by 3.2% compared to the LSTM model, and increased by 0.3% compared to the PSO model. The experimental results show that the system operating cost obtained using the GA differs from the actual value by 26,630 yuan.