A Method for Locating and Sizing Distributed Synchronous Condenser in Renewable Energy Collection Areas Based on PSO Algorithm

With the large-scale access of high-proportion renewable energy to the power grid, the transient overvoltage problems caused by system faults are becoming more and more frequent, resulting in a significant increase in the risk of high-voltage off-grid of renewable energy units. Addressing the challenge of maintaining power grid stability under high renewable integration, an optimization method is proposed for configuring distributed synchronous condensers. This method constructs a multi-objective optimization model that takes into account both configuration economy and unit operation safety. Based on the characteristics of distributed synchronous condensers to improve the short-circuit ratio of renewable energy multi-stations, the discrete particle swarm optimization algorithm is combined with MATLAB and BPA-PSD joint simulation to determine the optimal location and capacity of the condenser. Through the example verification of the high-altitude clean energy base in some areas at the southeast of China, the deployment of 23 distributed synchronous condensers can effectively limit the transient overvoltage of the renewable energy unit to below 1.3 p.u., and realize the coordinated optimization of the economy and safety of the condenser configuration.