热力发电2017，Vol.46Issue(5)：74-79,6.DOI:10.3969/j.issn.1002-3364.2017.05.074
基于主成分聚类分析的火电机组综合评价方法
Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis
摘要
Abstract
In order to solve the problem of comprehensive evaluation for multi-indicator system involved in operation state evaluation of thermal power units,the principal component analysis and cluster analysis are combined and applied to the comprehensive evaluation of power units.This method utilizes the principal component analysis to perform dimension-reduction,standardization and decorrelation for unit operation indicators,then the principal components affecting the unit operation state are extracted.Moreover,the extracted principal components are considered as a new data matrix for cluster analysis,which avoids the disadvantage of subjectivity of the classical clustering method when choosing the clustering variables.Finally,the principal component scores and the cluster classification are combined for the comprehensive evaluation.The case study result verified the effectiveness of the above method.关键词
主成分分析/聚类分析/火电机组/综合评价/运行状态/运行指标Key words
principal component analysis/cluster analysis/thermal power unit/comprehensive evaluation/operation state/operation indicator分类
信息技术与安全科学引用本文复制引用
王守鹏,赵冬梅,商立群,陈驰..基于主成分聚类分析的火电机组综合评价方法[J].热力发电,2017,46(5):74-79,6.基金项目
陕西省自然科学基础研究计划资助项目(2014JM2-5077)Natural Science Basic Research Plan in Shaanxi Province of China (2014JM2-5077) （2014JM2-5077）
