| 基于微粒群优化算法的最优电力系统稳定器设计 |
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| 引用本文： | 赵辉,刘鲁源,张更新.基于微粒群优化算法的最优电力系统稳定器设计[J].电网技术,2006,30(3):32-35. |
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| 作者姓名： | 赵辉 刘鲁源 张更新 |
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| 作者单位： | 天津大学,电气与自动化工程学院,天津市,南开区,300072;天津理工大学,自动化与能源工程学院,天津市,南开区,300191 |
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| 基金项目： | 天津市自然科学基金重点资助项目（033803311）;天津市高等学校科技发展基金资助项目（20041705,2004BA07）. |
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| 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。
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| 关 键 词： | 电力系统 动态稳定 电力系统稳定器(PSS) 微粒群优化算法(PSO) 参数优化 |
| 文章编号： | 1000-3673(2006)03-0032-04 |
| 收稿时间： | 11 4 2005 12:00AM |
| 修稿时间： | 2005年11月4日 |
Optimal Design of Power System Stabilizer Using Particle Swarm Optimization |
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| ZHAO Hui,LIU Lu-yuan,ZHANG Geng-xin.Optimal Design of Power System Stabilizer Using Particle Swarm Optimization[J].Power System Technology,2006,30(3):32-35. |
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| Authors: | ZHAO Hui LIU Lu-yuan ZHANG Geng-xin |
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| Affiliation: | 1. School of Electrical Engineering and Automation, Tianjin University, Nankai District, Tianjin 300072, China; 2. School of Automation and Energy, Tianjin University of Technology, Nankai District, Tianjin 300191, China |
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| 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. |
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| Keywords: | Power system Dynamic stability Power system stabilizer (PSS) Particle swarm optimization(PSO) Optimization of parameters |
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