Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS

doi:10.11930/j.issn.1004-9649.202010084

Abstract

Abstract: In order to improve the energy efficiency level of park customers, it is necessary to evaluate the energy efficiency level of customers to find out the weak links of energy consumption before energy efficiency optimization. Considering the logical dynamic relationship between energy efficiency indicators, the dynamic energy efficiency index system is constructed by selecting evaluation indexes from three dimensions based on PSR model. Combining principal component analysis and correlation analysis, the index system is optimized and redundant indexes are eliminated. An improved Grey TOPSIS energy efficiency evaluation model is constructed where entropy weight method is introduced to calculate the objective weight of indexes. The weighted grey correlation degree is used to replace the Euclidean distance as the distance measurement to evaluate the customers energy efficiency level, and the energy consumption status is analyzed from three dimensions. Finally, the energy efficiency level of 10 typical park customers is evaluated. The result shows that the comprehensive energy efficiency evaluation results of customers with good response performance are higher, which verifies the feasibility of PSR index system. Compared with the results of other methods, the effectiveness of the evaluation model is verified.

Key words: energy efficiency evaluation, PSR model, dynamic energy efficiency index system, principal component analysis, Grey TOPSIS, entropy weight method

ZHAO Hongshan, LI Jingxuan. Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS[J]. Electric Power, 2022, 55(3): 203-212.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202010084

https://www.electricpower.com.cn/EN/Y2022/V55/I3/203

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