A Comprehensive Evaluation Method of Power Plant Units Based on Information Entropy and Principal Component Analysis
Minfang Qi · Proceedings of the CSEE · 2013
Aimed at solving the comprehensive evaluation questions about optimal operation, condition monitoring and fault diagnosis in thermal power plant, and on the basis of analyzing the characteristics of evaluation indicators, information entropy theory and principal component analysis (PCA) method were combined and applied in comprehensive evaluation of thermal power plant units, then secondary evaluation indicators and first-class comprehensive evaluation indicators were obtained. Taken five units from 600 MW units in 2008’s competition as the research objects, the comprehensive evaluation model based on information entropy and principal component analysis was established. The units rankings obtained by the method proposed in the paper are completely in conformity with the units rankings of actual competition, which indicates that the reliability and effectiveness of the method presented are high.The method presented could give guidance for processing unit state comparison among different units and launching competition between different power plants.