Fault Diagnosis and Location Method for Active Distribution Network Based on Artificial Neural Network

被引：23
|
作者：
Zhang Tong [1 ]
Sun Lanxiang [2 ,3 ,4 ]
Liu Jianchang [1 ]
Yu Haibin [2 ,3 ,4 ]
Zhou Xiaoming [5 ]
Gao Lin [6 ]
Zhang Yingwei [1 ]
机构：
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Coll Informat Sci & Engn, Inst Automat, Shenyang, Liaoning, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China
[3] Chinese Acad Sci, Key Lab Networked Control Syst, Shenyang, Liaoning, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
[5] Liaoning Elect Power Compony Ltd State Grid, Shenyang, Liaoning, Peoples R China
[6] State Grid Liaoning Elect Power Supply Co Ltd, Yingkou Elect Power Supply Co, Shenyang, Liaoning, Peoples R China
来源：
ELECTRIC POWER COMPONENTS AND SYSTEMS | 2018年 / 46卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Active distribution network (ADN); fault location analysis; high resistance fault; phase measurement unit (PMU); PRINCIPAL COMPONENT ANALYSIS; BASIS EXPANSIONS; FUZZY-LOGIC; CLASSIFICATION; LINE; ALGORITHM; SCHEME; MODEL;
D O I：
10.1080/15325008.2018.1460884
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A fault diagnosis and location method of artificial neural network (ANN) based on regularized radial basis function (RRBF) is proposed. The phase angle feature of fault voltage and current signal is analyzed. The proposed method adopts synchronized amplitude and phase angle feature for fault diagnosis based on RRBF neural network. The fault diagnosis and location for the distribution branch is researched in the IEEE 13-bus active distribution network (ADN) system. The diagnosis accuracy and location precision is analyzed considering the effect of different input signals, fault position, and fault resistance. The simulation result demonstrates that the location method based on phase angle feature shows higher accuracy. The RRBF fault diagnosis and location method aims to solve fault in ADN and lays the foundation to maintain ADN system stability.
引用
收藏
页码：985 / 996
页数：12
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