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小生境遗传算法在状态估计中的应用
引用本文:沈茂亚,丁晓群,蔡昌春,张元洪.小生境遗传算法在状态估计中的应用[J].江苏电机工程,2006,25(5):35-37.
作者姓名:沈茂亚  丁晓群  蔡昌春  张元洪
作者单位:1. 河海大学电气工程学院,江苏,南京,210098
2. 国电南京自动化股份有限公司,江苏,南京,211100
摘    要:提出了一种基于小生境遗传算法的求解状态估计问题的新方法,根据加权最小二乘法原理导出状态估计模型可计及各种伪量测。采用小生境遗传算法可提高计算速度,并改善收敛性。仿真计算表明,该方法是有效的,而且精度高、数值稳定性好。

关 键 词:电力系统  状态估计  遗传算法  小生境
文章编号:1009-0665(2006)05-0035-03
收稿时间:2006-06-04
修稿时间:2006-06-042006-07-02

Application of Niche Genetic Algorithm in the Power System State Estimation
SHEN Mao-ya,DING Xiao-qun,CAI Chang-chun,ZHANG Yuan-hong.Application of Niche Genetic Algorithm in the Power System State Estimation[J].Jiangsu Electrical Engineering,2006,25(5):35-37.
Authors:SHEN Mao-ya  DING Xiao-qun  CAI Chang-chun  ZHANG Yuan-hong
Affiliation:1 .Hohai University, Nanjing 210098, China; 2.OUODIAN Nanjing Automation Co.,Ltd., Nanjing 211100, China
Abstract:The paper proposes a new method of solving state estimation problems based on niche genetic algorithm.The exported state estimation model based on the weighted least square principle can take any pseudo measurements into account.The algorithm increases the calculation speed and improves convergence.Simulations show that the proposed method is effective,precise and numerical stable.
Keywords:power system  state estimation  genetic algorithm  niche
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