| 应用改进粒子群优化的模糊均值聚类算法的暂态急定机组分群方法 |
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| 引用本文： | 张园园,龚庆武,陈道君,刘栋.应用改进粒子群优化的模糊均值聚类算法的暂态急定机组分群方法[J].电网技术,2011,35(9):92-98. |
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| 作者姓名： | 张园园 龚庆武 陈道君 刘栋 |
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| 作者单位： | 武汉大学电气工程学院,湖北省武汉市,430072 |
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| 摘 要： | 针对模糊C-均值聚类方法(fuzzy C-means,FCM)应用于机组分群时存在易收敛于局部最优值的问题,提出了改进的粒子群优化(particle swarm optimization,PSO)的模糊C-均值聚类算法(PSO-FCM)用于机组分群的方法,并阐述了分群算法中关键参数的选取方法.为充分利用FCM多特征量分...
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| 关 键 词： | 粒子群优化 模糊C-均值聚类 机组动态分群 同调性指标 |
A Unit Clustering Approach Used in Transient Stability Analysis Based on Improved PSO-FCM Algorithm |
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| ZHANG Yuanyuan
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GONG Qingwu
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CHEN Daojun
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LIU Dong.A Unit Clustering Approach Used in Transient Stability Analysis Based on Improved PSO-FCM Algorithm[J].Power System Technology,2011,35(9):92-98. |
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| Authors: | ZHANG Yuanyuan GONG Qingwu CHEN Daojun LIU Dong |
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| Affiliation: | ZHANG Yuanyuan,GONG Qingwu,CHEN Daojun,LIU Dong(School of Electrical Engineering,Wuhan University,Wuhan 430072,Hubei Province,China) |
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| Abstract: | To remedy the defect of fuzzy C-means(FCM) that it is sensitive to initial value and when it is used to group the generation units the solution is likely to converge on local optimal value,an improved particle swarm optimization(PSO)-FCM algorithm is proposed,and an approach to select the key parameters in the grouping algorithm is expounded.To take full advantage of multi-character analysis of FCM,the angle and angular velocity are simultaneously led in as clustering characters,so the problem of selecting ... |
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| Keywords: | particle swarm optimization(PSO) fuzzy C-means(FCM) dynamic unit clustering coherent norm |
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