CRITIC and TOPSIS based operating quality evaluation of metering equipment
DOI：10.7667/PSPC171877
Key Words:electricity energy metering equipment  operating quality evaluation  TOPSIS  entropy weight  Spearman's rank correlation coefficient
Author NameAffiliation
YANG Guangsheng State Grid Zhejiang Ningbo Power Supply Company, Ningbo 315000, China 
CUI You State Grid Zhejiang Ningbo Power Supply Company, Ningbo 315000, China 
XUAN Yuhua State Grid Zhejiang Yuyao Power Supply Company, Ningbo 315400, China 
LÜ Jifan State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China 
LIU Shengyuan School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China 
LIN Zhenzhi School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China 
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Abstract:In order to evaluate the operating quality of metering equipment quantitatively and improve the accuracy and reliability of the metering on power consumers, a method for evaluating the operating quality of metering equipment is presented by integrating the Criteria Importance Through Intercriteria Correlation (CRITIC) method with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. First, based on the metering data from the acquisition system for power consumers’ information, five indexes for evaluating the quality of electricity energy metering equipment are defined. Then, the CRITIC method based on the entropy weight and Spearman rank correlation coefficient is presented for determining the objective weight of each index, and an evaluation model of the quality of metering equipment is built based on the TOPSIS method. Finally, the actual data measured for electricity energy metering equipment in regional Ningbo power grid of Zhejiang province is served for validating the proposed model and method. The simulation results show that the proposed method could quantify the operating quality of metering equipment and evaluate metering equipment reasonably. This work is supported by National Key Research and Development Program of China (No. 2016YFB0901100), National Natural Science Foundation of China (No. 51377005) and Zhejiang Provincial Natural Science Foundation of China (No. LY17E070003).
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