Comprehensive Evaluation of Power Quality Based on Improved TOPSIS-RSR Method

QIU Yuting; LI Jiyuan; DENG Xu; DENG Guojun; ZHOU Hao

doi:10.13296/j.1001-1609.hva.2018.01.007

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Comprehensive Evaluation of Power Quality Based on Improved TOPSIS-RSR Method

更新时间：2025-04-26

- Comprehensive Evaluation of Power Quality Based on Improved TOPSIS-RSR Method
- High VoltageApparatus Vol. 54, Issue 1, Pages: 44-50(2018)
- 作者机构：
  
  1. 上海市电力公司市区供电公司
  2. 浙江大学电气工程学院
  3. 湖南省电力公司长沙供电公司
  4. 江苏省电力公司扬州供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.01.007
  CLC： TM711
- Published：2018
- 稿件说明：
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[1]邱玉婷,李济沅,邓旭,邓国军,周浩.基于改进TOPSIS-RSR法的电能质量综合评价[J].高压电器,2018,54(01):44-50.

QIU Yuting, LI Jiyuan, DENG Xu, et al. Comprehensive Evaluation of Power Quality Based on Improved TOPSIS-RSR Method[J]. High voltageapparatus, 2018, 54(1): 44-50.
[1]邱玉婷,李济沅,邓旭,邓国军,周浩.基于改进TOPSIS-RSR法的电能质量综合评价[J].高压电器,2018,54(01):44-50. DOI： 10.13296/j.1001-1609.hva.2018.01.007.

QIU Yuting, LI Jiyuan, DENG Xu, et al. Comprehensive Evaluation of Power Quality Based on Improved TOPSIS-RSR Method[J]. High voltageapparatus, 2018, 54(1): 44-50. DOI： 10.13296/j.1001-1609.hva.2018.01.007.

摘要

为解决现有电能质量评价模型的复杂性以及分级评价时的随机性和模糊性

提出了基于改进TOPSIS-RSR法的电能质量综合评价方法。采用熵权法客观计算电能质量指标的权重

运用理想解法（technique fororder preference by similarity to an ideal solution

TOPSIS）对电能质量进行综合评价;提出相对贴近距离的概念

对传统理想解法中存在的某些情况不能比较评价目标优劣性的问题进行改进;用相对贴近距离结合秩和比（rank sum ratio

RSR）法

对评价结果进一步扩展分析

根据标准正态离差分档

客观科学地对评价目标进行分级评价。通过对某380 V观测站5个观测点的电能质量数据进行实例验证以及与其他评价方法进行对比分析

分析结果表明

改进TOPSIS法结合RSR法可以对评价点的电能质量优劣情况进行合理的评价及分级排序

准确性高、可拓展性强。

Abstract

To solve the complexity of the existing power quality evaluation model as well as the randomness andfuzziness in the grading evaluation of power quality

a comprehensive evaluation method of power quality based onthe improved TOPSIS-RSR method is proposed. Entropy method is used to calculate the weight of the power qualityindex

and the TOPSIS（technique for order preference by similarity to an ideal solution） method is used forcomprehensive evaluation of power quality. The concept of relative similarity distance is raised to deal with theproblem existing in traditional TOPSIS method

that is

in some cases the evaluated objects cannot be comparedwith each other effectively. Combination of the relative similarity distance with RSR（rank sum ratio） is adopted tofurther analyze the evaluation results for expansion. The evaluated objects are graded according to the normalequivalent deviation. Example verification of the power quality data from five observation points in a 380 Vobservation station is carried out

and the results are compared with those of other methods. It is shown that theimproved TOPSIS method combined with RSR method can make reasonable evaluation and grading for powerquality of evaluated objects with high accuracy and expansibility.

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Related Institution

School of Electrical Engineering,Wuhan University

武汉大学电气工程学院湖北武汉430072

辽宁大连116024

Department of Electrical Engineering, North-east China Electric Power Institute

Department of Electrical and Electronics Engineering, Dalian University of Technology

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