作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2019, Vol. 45 ›› Issue (11): 281-286,297. doi: 10.19678/j.issn.1000-3428.0053015

• 开发研究与工程应用 • 上一篇    下一篇

基于复杂网络理论的电网节点重要度评估

谭阳红, 张婧, 李肖   

  1. 湖南大学 电气与信息工程学院, 长沙 410082
  • 收稿日期:2018-10-29 修回日期:2018-12-02 发布日期:2018-12-14
  • 作者简介:谭阳红(1971-),女,教授,主研方向为电力系统保护与控制、电力设备故障诊断;张婧、李肖,硕士研究生。
  • 基金资助:
    国家自然科学基金(61102039,51577046);国家重点基础研究发展计划(2012CB215106);湖南省自然科学基金(14JJ7029)。

Importance Evaluation of Power Grid Nodes Based on Complex Network Theory

TAN Yanghong, ZHANG Jing, LI Xiao   

  1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
  • Received:2018-10-29 Revised:2018-12-02 Published:2018-12-14

摘要: 电网中的重要节点对电网的安全有序运行具有重要的影响,如果这些节点发生故障,将导致电网大面积瘫痪。传统评估电网节点重要度的方法往往忽视决策者经验和知识对评估结果的影响。为此,引入前景理论,提出一种改进的逼近理想值排序(TOPSIS)法。引入相对熵解决传统TOPSIS法不能区分正负理想解中垂线节点的问题,利用灰色关联度衡量欧式距离及曲线边缘耦合度,使评估结果更加精确。以IEEE 39节点系统为例进行分析,结果表明,该方法能够有效识别重要节点,且节点辨识度较高。

关键词: 前景理论, 逼近理想值排序法, 相对熵, 灰色关联度, 复杂网络

Abstract: The important nodes in the power grid have an important impact on the safe and orderly operation of the power grid.If these nodes fail,it will cause a large area of the power grid.Traditional methods of assessing the importance of grid nodes often ignore the influence of decision makers' experience and knowledge on the results of the assessment.Therefore,the prospect theory is introduced and an improved Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method is proposed.The introduction of relative entropy solves the problem that the traditional TOPSIS method can not distinguish the vertical line nodes in the positive and negative ideal solutions,and uses the gray correlation degree to measure the Euclidean distance and the edge coupling degree of the curve,so that the evaluation result is more accurate.Taking the IEEE 39 node system as an example,the analysis results show that the method can effectively identify important nodes and the node recognition is high.

Key words: prospect theory, Technique for Order Preference by Similarity to Ideal Solution(TOPSIS), relative entropy, grey correlation degree, complex network

中图分类号: