Evaluation of Transmission Line Galloping State Based on Fuzzy Theory

WANG Feng1; WANG Cheng1; CHENG Jian-bing2; WANG Xian-qiang2; HE Wei3

doi:10.13296/j.1001-1609.hva.2011.07.013

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Evaluation of Transmission Line Galloping State Based on Fuzzy Theory

更新时间：2025-04-26

- Evaluation of Transmission Line Galloping State Based on Fuzzy Theory
- High VoltageApparatus Vol. 47, Issue 7, Pages: 69-75+79(2011)
- 作者机构：
  
  1. 湖南省电力公司科学研究院
  2. 重庆市电力公司电网检修分公司
  3. 重庆大学输配电装备及系统安全与新技术国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2011.07.013
  CLC： TM751
- Published：2011
- 稿件说明：
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[1]王峰,王成,程剑兵,王显强,何为.基于模糊理论的输电线舞动状态评估[J].高压电器,2011,47(07):69-75+79.

WANG Feng1, WANG Cheng1, CHENG Jian-bing2, et al. Evaluation of Transmission Line Galloping State Based on Fuzzy Theory[J]. High voltageapparatus, 2011, 47(7): 69-75+79.
[1]王峰,王成,程剑兵,王显强,何为.基于模糊理论的输电线舞动状态评估[J].高压电器,2011,47(07):69-75+79. DOI： 10.13296/j.1001-1609.hva.2011.07.013.

WANG Feng1, WANG Cheng1, CHENG Jian-bing2, et al. Evaluation of Transmission Line Galloping State Based on Fuzzy Theory[J]. High voltageapparatus, 2011, 47(7): 69-75+79. DOI： 10.13296/j.1001-1609.hva.2011.07.013.

摘要

针对输电线导线舞动状态评估具有模糊性和随机性的特点

分析了影响输电线舞动状态的因素

根据已有的研究成果和专家经验

从输电线舞动状态评估的需要以及实际可操作性出发

选择适当的指标来尽量全面、准确地评估导线舞动状态

提出了基于模糊理论的输电线舞动状态综合评判

建立了包含导线舞动振幅、舞动频率、风参数、覆冰厚度等因素的评估指标体系。首先应用模糊层次分析法确定各指标的常权

然后引入基于均衡函数的变权模式

对常权进行修正得到变权;各因素数值进行归一化处理后

选取了不同的模糊函数分布来确定各指标的隶属度函数

确保了模糊评判矩阵的准确度;选用加权平均型的模糊算子进行模糊综合评判。通过实例分析证明

基于模糊理论的输电线舞动状态评估方法是合理、可行的。

Abstract

As the state evaluation of transmission line galloping has the characteristics such as fuzziness and randomness

the factors affecting transmission line galloping state were analyzed

and a multi-layer evaluation method based on fuzzy theory for transmission line galloping was presented according to the existing achievements and the expert experiences.The evaluation indexes system was established including character parameters

environment factors

history data

etc.The fuzzy analytic hierarchical process was applied to determine the constant weight of every index

then the variable weights formulation based on the balance functions was used to correct the constant weights for obtaining the variable weights.And the membership degree function of each index was determined by different fuzzy function to ensure the accuracy of the fuzzy evaluation matrix after the normalization processing of each factor value.Finally

the weighted-average type of fuzzy operator was used for fuzzy comprehensive evaluation.The feasibility and reasonability of the presented evaluation method were demonstrated by practical examples.

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