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基于NSGA-Ⅱ算法的PSS多目标优化设计

Multi－objective Optimal Design of Power System Stabilizer Based on NSGA－Ⅱ Algorithm
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摘要 电力系统稳定器(PSS)能够很好地抑制电力系统低频振荡,其参数的整定尤为重要。一般处理方法是将系统状态矩阵特征值实部和阻尼比分别加权转换成单目标问题,进而用优化算法对PSS控制器参数进行优化,而权重的选取对参数影响极大。以特征值实部和阻尼比作为两个目标,用NSGA-Ⅱ多目标进化算法优化处理,最后与传统的遗传算法相比较。仿真结果表明,采用NSGA-Ⅱ算法设计的PSS控制器,可以有效地阻尼电力系统低频振荡。 Power system stabilizer （PSS） can inhibit the low -frequency oscillation well and the selection of its parameters is particularly important. Generally, both the real part and damping ratio of the eigenvalue of the system state matrix are weighted and then it is transformed into a single objective problem to design the controller parameters of PSS using optimization algo- rithm, but the parameters are influenced greatly by the selection of the weight. The real part and damping ratio of the eigenval- ue are considered as two objectives to optimize the parameters using NSGA -Ⅱ multi -objective evolutionary algorithm. Com- paring with the traditional methods, the simulation results show that the PSS controller designed by NSGA - Ⅱ algorithm can damp the low - frequency oscillation of power system effectively.
作者 张利 康积涛 刘芽 刘伟波
机构地区 西南交通大学电气工程学院 鄂尔多斯市东胜区大规模储能技术研究所暨中国科学院工程热物理研究所东胜分所
出处 《四川电力技术》 2013年第4期55-58,共4页 Sichuan Electric Power Technology
关键词 低频振动 PSS 特征值 阻尼比 NSGA-Ⅱ算法 low - frequency oscillation power system stabilizer （PSS） eigenvalue damping ratio NSGA -Ⅱ algorithm
分类号 TM712 [电气工程—电力系统及自动化]
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参考文献4

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四川电力技术
2013年 第4期

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