Hunan Electric Power ›› 2024, Vol. 44 ›› Issue (6): 104-112.doi: 10.3969/j.issn.1008-0198.2024.06.015

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Research on Comprehensive Benefit Evaluation of Power Transmission and Transformation Projects Based on Im‍proved TOPSIS-RSR Method

WANG Yinan1, CHEN Heng1, FAN Lanxin1, PAN Peiyuan1, XIN Cheng2, JIANG Xue3   

  1. 1. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China;
    2. State Grid Economic and Technical Research Institute Co., Ltd., Beijing 102209, China;
    3. State Grid Liaoning Electric Power Company Limited Economic and Technological Research Institute,Shenyang 110015, China
  • Received:2024-08-27 Revised:2024-10-17 Online:2024-12-25 Published:2024-12-25

Abstract: In order to establish a comprehensive and scientific evaluation system for transmission and transformation projects, a comprehensive benefit evaluation method based on the improved TOPSIS-RSR method is proposed.Firstly, the Delphi method is used to filter the comprehensive benefit evaluation indexes of the transmission and transformation project,including economic benefit, carbon reduction benefit and social benefit.Secondly, the subjective and objective methods are combined with fuzzy analytical hierarchy process and entropy weight method to assign weights. Finally, the ultimate weights are obtained by applying the principle of minimum information.During the construction of the evaluation model, the rank-sum ratio (RSR) method is introduced into the technique for order preference by similarity to an ideal solution (TOPSIS), and the Euclidean distance in TOPSIS is replaced with standardized Euclidean distance, effectively avoiding evaluation discrepancies caused by different dimensions. The TOPSIS-RSR method before and after the improvementis is utilized to evaluate and rank 220 kV power transmission and transformation projects in four regions. By comparing the test values of the two models,the advancement of the improved model is verified.

Key words: power transmission and transformation projects, fuzzy comprehensive evaluation, entropy weight, improved TOPSIS-RSR method, project ranking

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