广东电力2016，Vol.29Issue(5)：86-91,123,7.DOI:10.3969/j.issn.1007-290X.2016.05.016
基于混合高斯模型的配电网负荷伪量测权重优化算法
Optimization Algorithm for Pseudo Measurement Weight of Power Distribution Network Load Based on Gaussian Mixture Model
申定辉 1于晓蕾 2吴丹3
作者信息
- 1. 国网安徽省电力公司六安供电公司,安徽 六安237000
- 2. 国网安徽省电力公司众兴电力设计院有限公司,安徽 合肥230000
- 3. 国网江西省电力公司南昌供电公司,江西 南昌330000
- 折叠
摘要
Abstract
A kind of optimization algorithm for load measurement weight of power distribution network based on Gaussian mixture model (GMM)is presented which includes optimization and weight confirmation for GMM parameters.It firstly u-ses gravitational search algorithm (GSA)to judge optimal clusteringnumbers of data and K-means algorithm to obtain an ini-tial clustering center,variance and mixed weight of data. Then it uses Markov chain Monte Carlo-expectation maximum (MCMC-EM)algorithm to estimate GMM parameters. Finally it presents the optimization method for pseudo measurement weight of load according to optimized GMM so as to confirm pseudo measurement weight of load. Improved IEEE-12 node system is taken for an example to verify the proposed method and the result indicates its reasonability and effectiveness.关键词
配电网/状态估计/伪量测权重/高斯混合模型/组合马尔科夫链蒙特卡洛期望最大化算法Key words
power distribution network/state estimation/pseudo measurement weight/Gaussian mixture model (GMM)/Markov chain Monte Carlo-expectation maximum (MCMC-EM)分类
信息技术与安全科学引用本文复制引用
申定辉,于晓蕾,吴丹..基于混合高斯模型的配电网负荷伪量测权重优化算法[J].广东电力,2016,29(5):86-91,123,7.
