基于PSO算法的电力系统稳定器参数优化

Parameter Optimization of a Power System Stabilizer Based on PSO Algorithm

针对电力系统稳定器的参数优化问题,提出一种基于微粒群优化算法的整定方法。算法选择Δω作为输入信号,以ITAE指标作为微粒群优化算法的目标函数,对电力系统稳定器增益Ki和时间常数T1i、T3i三个参数进行优化设计。仿真结果验证了算法的有效性和优越性。

For the parameter optimization of a power system stabilizer（PSS）,this paper presents a setting method based on particle swarm optimization（PSO）.The method optimizes the gain parameter Ki and time constants T1i,T3i with Δω and ITAE as input signal and objective function respectively.Simulation results verify the validity and superiority of the algorithm.