【摘要】 传统电力系统稳定器的性能受其参数影响很大,为提高电力系统机电暂态模型的阻尼,文中提出了一种优化电力系统稳定器参数的新方法。该方法以两个特征值基目标函数为基础,采用改进的微粒群优化技术对电力系统稳定器进行参数优化。特征值分析和非线性仿真结果表明,经过参数优化的电力系统稳定器能有效抑制本地和区域间振荡,提高系统的鲁棒性。更多还原

【Abstract】 The performance of traditional power system stabilizer (PSS) is evidently influenced by its parameters. To enhance the damping of power system electromechanical transient model, a new method to optimize the parameters of PSS is proposed. Based on two eigenvalue-based objective functions, the parameters of PSS are optimized by use of improved particle swarm optimization (PSO). The results of both eigenvalue analysis and nonlinear simulation show that the PSS with optimized parameters can effectively damp local and interarea oscillations and enhance the robustness of power system.更多还原