A Reactive Power Optimization Method for AC Metro Power Supply System Based on Particle Swarm Optimization Algorithm

Aiming at the problem of reactive power imbalance in AC metro, the equivalent circuit model is established by investigating the topology AC metro power supply system, and the change of reactive power in the whole day of the system is analyzed in combination with the actual operation data of the metro. The reactive power evaluation indices are proposed to evaluate the influence of reactive power on the system. To solve the problem that the power factor of the system at night does not meet the requirements and there is no available device in the line for reactive power optimization, the particle swarm optimization (PSO) is used to obtain the optimal configuration of reactive power compensation devices. The results show that the balance and optimization of reactive power can be achieved through reasonable configuration of compensation devices.