湖南电力 ›› 2024, Vol. 44 ›› Issue (6): 104-112.doi: 10.3969/j.issn.1008-0198.2024.06.015

• 经验与探讨 • 上一篇    下一篇

基于改进TOPSIS-RSR法的输变电工程综合效益评价研究

王奕楠1, 陈衡1, 范蓝心1, 潘佩媛1, 辛诚2, 姜雪3   

  1. 1.华北电力大学能源动力与机械工程学院,北京 102206;
    2.国网经济技术研究院有限公司,北京 102209;
    3.国网辽宁省电力有限公司经济技术研究院,辽宁 沈阳 110015
  • 收稿日期:2024-08-27 修回日期:2024-10-17 出版日期:2024-12-25 发布日期:2024-12-25
  • 通信作者: 陈衡(1989),男,博士,教授,硕士生导师,研究方向为电力系统优化及评价、“双碳”技术路线等。
  • 作者简介:王奕楠(2001),女,硕士研究生,主要研究方向为输变电工程减碳方案优选技术。
  • 基金资助:
    国家电网有限公司科技项目(5200-202356133A-1-1-ZN)

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

摘要: 为建立一套全面科学的输变电工程评价体系,提出一种基于改进TOPSIS-RSR法的综合效益评价方法。首先运用德尔菲法筛选出包括经济效益、减碳效益、社会效益在内的输变电工程综合效益评价指标,其次结合模糊层次分析法与熵权法进行主客观方法组合赋权,最后采用最小信息原理得到最终权重。在评价模型构建的过程中,将秩和比法(rank-sum ratio,RSR)引入逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS),并将TOPSIS中的欧式距离改为标准化欧式距离,有效规避了量纲不同造成的评价上的差异。利用改进前后的TOPSIS-RSR法对四个地区的220 kV输变电工程项目进行评价排序,通过对比两模型检验值的大小,验证了改进后模型的先进性。

关键词: 输变电工程, 模糊综合评价, 熵权法, 改进TOPSIS-RSR法, 项目排序

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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