Neuro-Fuzzy Based Fault Detection Identification and Location in a Distribution Network

被引：0

作者：

Babayomi, Oluleke ^{[1
]}

Oluseyi, Peter ^{[2
]}

Keku, Godbless ^{[3
]}

Ofodile, Nkemdilim A. ^{[4
]}

机构：

[1] Nat Space Res & Dev Agcy, Cent Space Transport & Prop, Abuja, Nigeria

[2] Univ Lagos, Dept Elect & Elect Engn, Lagos, Nigeria

[3] Nig Mar Admin & Safety Agcy, Plan Res & Data Mgt Serv, Apapa, Nigeria

[4] Nigerian Air Force, Nig Air Force Res & Dev Cent, Abuja, Nigeria

来源：

2017 IEEE PES POWERAFRICA CONFERENCE | 2017年

关键词：

three phase faults; adaptive neuro-fuzzy inference system; distribution network; fault identification; fault location; fuzzy-logic; POWER-SYSTEMS; DIAGNOSIS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an investigation into neuro-fuzzy techniques for the accurate detection, classification and location of an electric power fault in a distribution network. Ten different types of faults were studied with respect to a real network. These include: line-to-ground faults (on each of phases A, B and C); line-to-line faults (on phases A-B, B-C and A-C); line-to-line-to-ground faults (on phases A-B, B-C and A-C) and three phase fault. A Mandami-type fuzzy controller was also applied to fault type determination. The results reveal that the developed models detect, identify and locate fault incidences to a high degree of accuracy.

引用

页码：164 / 168

页数：5

共 11 条

[1] Babayomi Oluleke, 2016, ADV ELECT ENG, V2016
[2] On-line fault diagnosis of distribution substations using hybrid cause-effect network and fuzzy rule-based method
Chen, WH
Liu, CW
Tsai, MS
[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2000, 15 (02) : 710 - 717
[3] Cordova J., 2015, North American Power Symposium (NAPS), 2015, P1, DOI DOI 10.1109/NAPS.2015.7335105
[4] DEVELOPMENT OF AN EXPERT SYSTEM FOR ESTIMATING FAULT SECTION IN CONTROL CENTER BASED ON PROTECTIVE SYSTEM SIMULATION
KIMURA, T
NISHIMATSU, S
UEKI, Y
FUKUYAMA, Y
[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 1992, 7 (01) : 167 - 172
[5] Ohrstrom M., 2002, P IASTED C POW EN SY
[6] COMPARISON OF NEURAL-NETWORK MODELS FOR FAULT-DIAGNOSIS OF POWER-SYSTEMS
RANAWEERA, DK
[J]. ELECTRIC POWER SYSTEMS RESEARCH, 1994, 29 (02) : 99 - 104
[7] FAULT-DIAGNOSIS OF POWER-SYSTEMS
SEKINE, Y
AKIMOTO, Y
KUNUGI, M
FUKUI, C
FUKUI, S
[J]. PROCEEDINGS OF THE IEEE, 1992, 80 (05) : 673 - 683
[8] Sekine Y., 1989, P 2 S EXP SYST APPL, P277
[9] A comprehensive fault diagnostic system using artificial intelligence for sub-transmission and urban distribution networks
Teo, CY
[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (04) : 1487 - 1493
[10] Self-adapted single-ended travelling wave fault location algorithm considering transfer characteristics of the secondary circuit
Xu, Fei
Dong, Xinzhou
Wang, Bin
Shi, Shenxing
[J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (14) : 1913 - 1921

← 1 2 →