| 混合粒子群算法在PSS参数优化中的应用 |
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| 引用本文： | 侯莉.混合粒子群算法在PSS参数优化中的应用[J].电气开关,2012,50(4):86-87,95. |
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| 作者姓名： | 侯莉 |
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| 作者单位： | 兰州交通大学自动化与电气工程学院,甘肃 兰州,730070 |
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| 摘 要： | 通过采用一种新的混合粒子群算法对多机系统的电力系统稳定器(PSS)进行参数优化,以达到更好的低频振荡抑制效果.引入交叉操作的混合粒子群优化算法是一种应用于连续空间的、具有较好的全局搜索能力和寻优速度的改进粒子群算法(PSO).用Matlab软件进行仿真,结果表明,该方法设计的PSS稳定性有较大提高.
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| 关 键 词： | 电力系统稳定器 混合粒子群优化算法 多机电力系统 参数优化 |
Application of Hybrid Particle Optimization in Parameter Optimization of PSS |
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| HOU Li.Application of Hybrid Particle Optimization in Parameter Optimization of PSS[J].Electric Switchgear,2012,50(4):86-87,95. |
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| Authors: | HOU Li |
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| Affiliation: | HOU Li(Institute of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | A new kind of particle swarm optimization(PSO) is proposed to optimize the multi-machine power system stabilizer(PSS),to suppress low-frequency oscillations more effectively.The hybrid particle swarm optimization that introduced crossover operation is an improvement algorithm applied to continuous space with preferable ability of global search and search rate.MATLAB simulation results show that the stability of the PSS with the method is enhanced. |
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| Keywords: | power system stabilizer hybrid particle swarm optimization multi-machine power system parameter optimization |
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