基于灰色聚类分析的输电线路舞动分级预警方案

输电线路舞动灾害会造成严重的电网安全事故和经济损失。为了对舞动事故的发生进行预警,提出了一种基于灰色聚类分析的输电线路舞动分级预警方案。根据舞动发生的主要原因,从气象因素、风的激励和线路结构因素三个方面建立影响输电线路舞动的指标体系,并采用层次分析法计算指标权重。采用灰色聚类分析进行舞动分级预警方案设计,由白化权函数和指标权重值计算综合聚类系数,并根据其最大值判断舞动状态。对算例的计算结果与实际舞动状态吻合程度较高。本文的预警方案可以为舞动灾害的防治提供借鉴和参考。

Graded Warning Scheme of Transmission Line Galloping Based on Grey Clustering Analysis

Transmission line galloping disasters will cause serious power grid safety accidents and economic losses. In order to warn the occurrence of galloping accidents, a graded warning scheme of transmission line galloping based on grey clustering analysis was proposed. According to the main reason of the galloping, an indicator quantity system affecting the transmission line galloping was established from three aspects: meteorological factors, wind incentives and line structure factors, and AHP was used to calculate the weight of indicators. A graded warning scheme was designed by using grey clustering analysis. The comprehensive clustering coefficient was calculated from the whitening weight function and the weight value, and the maximum value was used to judge the galloping state. The calculation results of examples agreed well with the actual galloping state. The graded warning scheme of this paper could provide reference for the prevention and control of galloping accidents.