摘要
电压暂降类型是进行故障类型识别和治理设备选型的重要信息。首先,根据电压暂降的类型定义和其经变压器传播的类型变换特性,建立电压暂降类型模式库。定义和提取了三相电压的六维向量,以进行暂降类型计算。应用皮尔逊相关系数,建立待计算电压暂降与模式库各元素的相关系数矩阵,计算其相似程度。提出基于切比雪夫距离的待计算电压暂降与模式库中各矢量的距离矩阵。基于相关系数矩阵与距离矩阵,构建电压暂降类型相关度矩阵,考虑混合判据计算电压暂降类型。经仿真数据和实测数据验证,所提方法准确度较高,能克服传统方法对浅暂降和相位跳变敏感的缺点。建议在省级电能质量监测平台中应用所提算法,实现暂降类型的实时计算,为区域电压暂降的有效评估和治理提供参考依据。
It is the important information of voltage sag type for fault type identification and mitigation equipment selection.Firstly,this paper establishes the voltage sag type pattern library based on the type definition of voltage sag and the voltage sag type propagation characteristics through transformer.The six-dimensional vector of three-phase voltage is defined and extracted to calculate the type of voltage sag.The Pearson correlation coefficient is used to establish the correlation coefficient matrix between the voltage sag to be calculated and the elements of the pattern library,and the similarity degree is calculated.The distance matrix between the measured voltage sag and the voltage sag vectors in the pattern library is proposed and calculated based on Chebyshev distance.Then the correlation matrix of voltage sag types is constructed based on the correlation coefficient matrix and the distance matrix and the voltage sag type considering the mixed criterion is calculated.The simulation data and measured data verify that the proposed method has high accuracy and can overcome the shortcomings of traditional methods that are sensitive to shallow sags and phase jumps.It is recommended to apply the proposed method in the provincial power quality monitoring platform to realize the real-time calculation of the type of sag and to provide a reference for the effective evaluation and mitigation of voltage sag in a certain region.
作者
杜培
林焱
张伟骏
林芳
方晓玲
DU Pei;LIN Yan;ZHANG Wei-jun;LIN Fang;FANG Xiao-ling(Electric Power Research Institute of State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350007,China)
出处
《电工电能新技术》
CSCD
北大核心
2021年第3期63-71,共9页
Advanced Technology of Electrical Engineering and Energy
基金
国网福建省电力有限公司科技项目(No.52130419000Y)。
