基于PCA和改进TOPSIS法的火电机组运行综合评价  

Comprehensive Evaluation of Operation of Thermal Power Units Based on PCA and Improved TOPSIS Method

作　　者：张宇 田亮[1] ZHANG Yu;TIAN Liang(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学控制与计算机工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2023年第3期110-116,126,共8页Journal of North China Electric Power University：Natural Science Edition

基　　金：中央高校基本科研业务费专项资金资助项目(2021MS090).

摘　　要：为提高火电机组运行管理水平,实现经济运行的目的,针对火电机组的运行特点,提出了一种基于主成分分析法(PCA法)和逼近理想解排序法(TOPSIS法)相结合的火电机组运行综合状态评估方法。采用PCA法来对火电机组运行指标进行降维处理并基于主成分的贡献度来确定指标的权重,同时采用马氏距离代替传统TOPSIS法中的欧式距离,从机组可靠性和经济性方面对火电机组运行状态进行综合评价。通过对5台机组进行实例计算,结果表明:该方法所得的评价结果更加准确合理,可以为不同电厂机组之间进行运行优化以及竞赛提供良好的方案。In order to improve the operation and management level of thermal power units and realize economic operation,according to the operating characteristics of thermal units,we proposed a comprehensive method to assess the operation state of thermal power unit based on the combination of principal component analysis method(PCA method)and approximate ideal solution sorting method(TOPSIS method).The PCA method was used to reduce the dimension of the operating indicators of thermal power units and the weights of the indicators were determined based on the contribution of the principal components.At the same time,the Mahalanobis distance was used to replace the Euclidean distance in the traditional TOPSIS method.From the perspective of the reliability and economy of the unit,the operation state of the thermal power units was comprehensively evaluated.The calculation of 5 units was carried out and the results show that the evaluation results obtained by this method are more accurate and reasonable,and can provide a good plan for operation optimization and competition among different power plant units.

关 键 词：主成分分析法 逼近理想解排序法 马氏距离 火电机组 综合评价 

分 类 号：TM621.2[电气工程—电力系统及自动化]