Application of the Principal Component Analysis and Cluster Analysis in Comprehensive Evaluation of Thermal Power Units
In order to improve the operational level of safe,reliability, economy and environmental protection of thermal power units, the principal component analysis (PCA) and cluster analysis (CA) method were combined and proposed to assess the operating condition of fossil-fired power plants comprehensively,which can resolve the problem on the evaluation of multiple indicators.This method utlizes principal component analysis to perform the standardization, dimension-reduction and de-correlation of multiple evaluation indicators system for thermal power unit and abstracts the principal component.Moreover, the principal components were extracted as a new data matrix by duster analysis Finally the principal component scores and duster classification were combined for comprehensive evaluation.It can provide the high reference value for the power generation group on how to implement saving energy, optimal operation, index evaluation and competition in thermal power units.The practical example shows that the proposed method is effective.
Cluster analysis Comprehensive Evaluation Principal component analysis Thermal power unit
Liqun Shang Shoupeng Wang
Xian University of Science and Technology, Xian,710054 China Xian University of Science and Technology,Xian, 710054 China
国际会议
南京
英文
859-864
2015-09-21（万方平台首次上网日期，不代表论文的发表时间）