文献类型：会议论文

英文题名：Harmonic Pollution Level Assessment in Distribution System Using Extended Cloud Similarity Measurement Method

作者：Zang, Tianlei Wang, Yan He, Zhengyou Qian, Qingquan

第一作者：Zang, Tianlei

通信作者：Zang, TL[1];Zang, TL[2]

机构：[1]Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China;[2]Guizhou Inst Technol, Key Lab Elect Power Big Data Guizhou Prov, Guiyang 550003, Guizhou, Peoples R China

第一机构：Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China

通信机构：corresponding author), Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China;corresponding author), Guizhou Inst Technol, Key Lab Elect Power Big Data Guizhou Prov, Guiyang 550003, Guizhou, Peoples R China.|贵州理工学院;

会议论文集：3rd International Conference of Pioneering Computer Scientists, Engineers and Educators (ICPCSEE)

会议日期：SEP 22-24, 2017

会议地点：Cent S Univ, Changsha, PEOPLES R CHINA

主办单位：Cent S Univ

语种：英文

外文关键词：Harmonic; Pollution level assessment; Extended cloud; Group eigenvalue; TOPSIS

年份：2017

摘要：The purpose of harmonic pollution level assessment is to judge whether the harmonic pollution of a bus or a region is beyond the limit. Considering the fuzziness of the index criteria values caused by harmonic variation, this paper proposes an assessment method for harmonic pollution level based on the extended cloud similarity measurement. Firstly, according to the main characteristics of harmonic pollution, a set of evaluation index of harmonic pollution level is formed, including the total harmonic distortion rate of voltage, the fifth harmonic current RMS value, the seventh harmonic current RMS value, the eleventh harmonic current RMS value, and thirteenth harmonic current RMS value. Secondly, considering the group decision-making behavior of the harmonic pollution level assessment, the group eigenvalue method is utilized to integrate the weight of multiple operators and to calculate the comprehensive weight of the assessment index. On this basis, the harmonic pollution are divided into four levels, and the index criteria values are expressed as triangular fuzzy numbers. Besides, the fuzzy numbers are unified by the extended cloud. Finally, the extended cloud similarity and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is utilized to get the evaluation results. The monitoring data of seven 10 kV buses in Guangzhou is adopted to verify the validity and rationality of the evaluation method.