Neuro Wavelet Algortihm for Detecting High Impedance Faults in Extra High Voltage Transmission Systems

被引:0
作者
Hafidz, Isa [1 ]
Nofi, Elyza P. [1 ]
Anggriawan, Dimas Okky [2 ]
Priyadi, Ardyono [1 ]
Purnomo, Mauridhi Hery [1 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya, Indonesia
[2] Politekn Elekt Negeri Surabaya, Dept Elect Engn, Surabaya, Indonesia
来源
PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE SUSTAINABLE AND RENEWABLE ENERGY ENGINEERING (ICSREE 2017) | 2017年
关键词
high impedance faults; pattern recognition; haar wavelet transform; TRANSFORM;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High impedance faults are not easy to be measured and detected by convetional relay protection. This paper proposed simualtions studies for detection high impedance fault in extra high voltage transmission line (EVT). The fault simulations based on simplified 2 diodes model. Current signal from the measurement is processed using discrete wavelet transform type haar wavelet to obtain coefficient detail. The output of discrete wavelet transform will be used for pattern recognition based on an backpropagation neural networks algorithm. The fault is modified to distribution system for EVT. The Characteristics of the proposed scheme are analyzed by comprehensive studies and the result clearly explain that it can accurately detect high impedance fault in the EVT with varies condition.
引用
收藏
页码:97 / 100
页数:4
相关论文
共 50 条
[41]   A Voltage-Based Approach for Series High Impedance Fault Detection and Location in Distribution Systems Using Smart Meters [J].
Vieira, Francinei L. ;
Santos, Pedro H. M. ;
Carvalho Filho, Jose M. ;
Leborgne, Roberto C. ;
Leite, Marino P. .
ENERGIES, 2019, 12 (15)
[42]   High impedance fault detection methodology using wavelet transform and artificial neural networks [J].
Baqui, Ibrahem ;
Zamora, Inmaculada ;
Mazon, Javier ;
Buigues, Garikoitz .
ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (07) :1325-1333
[43]   Methodology for information extraction from oscillograms and its application for high-impedance faults analysis [J].
Batista, Oureste Elias ;
Flauzino, Rogerio Andrade ;
de Araujo, Marcel Ayres ;
de Moraes, Lucas Assis ;
da Silva, Ivan Nunes .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 76 :23-34
[44]   Studies on the application of wavelet families for a high impedance fault location algorithm in a distribution network [J].
Ali, Mohd Syukri ;
Abu Bakar, Ab Halim ;
Tan, Chia Kwang ;
Mokhlis, Hazlie ;
Arof, Hamzah .
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2016, 24 (06) :5043-5054
[45]   Experimental Performance Validation of Z-Source DC Circuit Breaker for High Impedance Faults [J].
Pogulaguntla, Aditya ;
Banavath, Satish Naik ;
Chub, Andrii ;
Vinnikov, Dmitri ;
Singh, Rajendra .
2024 IEEE SIXTH INTERNATIONAL CONFERENCE ON DC MICROGRIDS, ICDCM 2024, 2024,
[46]   Detection and Classification of High Impedance Faults in Power Distribution Networks Using ART Neural Networks [J].
Nikoofekr, I. ;
Sarlak, M. ;
Shahrtash, S. M. .
2013 21ST IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2013,
[47]   Fire hazard mitigation in distribution systems through high impedance [J].
Gashteroodkhani, O. A. ;
Majidi, M. ;
Etezadi-Amoli, M. .
ELECTRIC POWER SYSTEMS RESEARCH, 2021, 192
[48]   Precise Modeling and Detection of High Impedance Faults in Microgrid System Based on Residual Current Harmonic Analysis [J].
Eslami, L. ;
Keivanian, R. .
INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2012, 7 (01) :3523-3531
[49]   Zero Sequence Current Detection Method of High Impedance Faults Using Distortion Waveform in Distribution Networks [J].
Manmoh, Jiraphat ;
Srirattanawichaikul, Watcharin .
2023 IEEE PES 15TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE, APPEEC, 2023,
[50]   Deep SqueezeNet Based Technique for Detection of High Impedance Arcing Faults in Electric Power Distribution Networks [J].
Mohammadi, Amin ;
Jannati, Mohsen ;
Shams, Mohammadreza .
2024 32ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, ICEE 2024, 2024, :734-+