Parameter optimization method of energy storage controller based on power system transient stability

Battery energy storage system plays an important role in calming wind and wind power volatility and maintaining system safety and stability. In view of the parameter optimization of the controller of the energy storage system, considering the impact of the energy storage system on the transient stability of the power system, data interaction was realized by studying the interface configuration between DIgSILENT and Python, and optimization code of co-simulation was written based on Particle Swarm Optimization (PSO) algorithm. A parameter optimization method of energy storage controller based on DIgSILENT-Python is proposed. Finally, the IEEE9-node system is used to analyze the optimization method. The experimental results verify that the co-simulation framework can effectively optimize the parameters of the energy storage controller, which solves the problem that DIgSILENT can only set the components with measurement functions as the optimization target, and is suitable for a number of circuit faults in the system. It can guarantee the safe and stable operation of power system.