Page 26 - 电力与能源2024年第三期

第 45 卷 第 3 期
电力与能源
300 2024 年 6 月

DOI：10.11973/dlyny202403004

基于改进 TOPSIS 组合赋权法的配电自动化

通信系统多属性决策设计

甘芸芸，陈 涛，刘欣宇，邹 坚，曹 红，齐结红

（国网上海市电力公司松江供电公司，上海 201699）

摘 要：目前，国内配电自动化通信系统建设处于高速发展阶段，各地的建设情况不尽相同。根据现有文献可
知，大部分地区对通信技术的选择主要考虑技术指标，而没有有效结合各种不同电力业务终端的通信需求，并
且针对配电自动化通信系统的选型研究大多只采用了单一赋权法或简单的组合赋权法，没有对匹配结果进行
加权排序计算。针对上述现状，结合某地区配电网现状、配电自动化通信网建设现状以及通信业务终端规模
现状，分析了该地区通信网的建设需求以及现存问题，提出了多属性量化决策，采用主观赋权法与客观赋权法
相结合的方法进行组合权重计算，再利用加权马氏距离代替欧氏距离的逼近理想解排序法（TOPSIS）对不同
电力业务终端进行适配性研究，以得到最优通信网络。通过仿真试验，验证了所提出的基于改进 TOPSIS 组
合赋权法的多属性量化决策对通信性能的改善作用。
关键词：配电自动化通信；组合赋权法；多属性决策；逼近理想解排序法
作者简介：甘芸芸（1993—），女，工程师，从事电网企业变电运维工作。
中图分类号：TM76 文献标志码：A 文章编号：2095-1256（2024）03-0300-08
Multi-Attribute Decision-Making Design for Distribution Automation Communication

Systems Based on Improved TOPSIS Combined Weighting Method

GAN Yunyun，CHEN Tao，LIU Xinyu，ZOU Jian，CAO Hong，QI Jiehong

（State Grid Songjiang Power Supply Company，SMEPC，Shanghai 201699，China）

Abstract：Currently, the construction of distribution automation communication systems in China is in a rapid de⁃
velopment stage, with varying situations in different regions. Based on the existing literature, most regions mainly
consider technical indicators in the selection of communication technology solutions without effectively integrating
the communication needs of various power business terminals. Moreover, most studies on the selection of distribu⁃
tion automation communication systems have only used a single weighting method or a simple combined weight⁃
ing method, without weighted sorting calculations of the matching results. Therefore, considering the current sta⁃
tus of distribution networks, the construction status of distribution automation communication networks, and the
scale of communication business terminals in a certain region, this study analyzes the construction needs and exist⁃
ing problems of the communication network in that region. It proposes a multi-attribute quantitative decision-
making approach, combines subjective weighting methods with objective weighting methods for combined weight
calculation, and then utilizes the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
method, which uses weighted Mahalanobis distance to approximate the ideal solution instead of the Euclidean dis⁃
tance, to study the adaptability of different power business terminals for obtaining the optimal communication net⁃
work. Through simulation experiments, the study validates the proposed improved TOPSIS combined weighting
method-based multi-attribute quantitative decision-making approach for enhancing communication performance.

Key words：distribution automation communication，combined weighting method，multi-attribute decision-

making，TOPSIS method
配电自动化系统的技术建设和应用推广离不 开电力通信网络的保障和支撑，其中关键之一是