PSO Algorithm-Based Capacity Optimization Method for Synchronous Condensers

The AC-DC hybrid power system is faced with severe voltage stability challenges. Synchronous condensers(SC) can provide dynamic reactive power support and reduce the risk of DC commutation failure, thus attracts wide attention to improve systems' strength. A capacity optimization method for SCs is proposed in this paper, based on Particle Swarm Optimization(PSO) algorithm. Firstly, the capacity optimization model of SC is established. Secondly, the PSO algorithm is applied to solve the optimization model. To improve the computation efficiency, the MatLab/DIgSILENT combined simulation is carried out, which is based on file interaction. Finally, the effectiveness and computational efficiency of the proposed method are verified by simulation.