Detection of Transmission Line Faults in the Presence of Wind Power Generation Using Discrete Wavelet Transform

被引:0
作者
Suman, Toshiba [1 ]
Mahela, Om Prakash [2 ]
Ola, Sheesh Ram [1 ]
机构
[1] Apex Inst Engn & Technol, Jaipur, Rajasthan, India
[2] Indian Inst Technol, Jodhpur, Rajasthan, India
来源
2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2016年
关键词
Discrete wavelet transform; detail coefficient; MATLAB/Simulink; power system fault; wind power generation; RELAYING SCHEME; CLASSIFICATION; LOCATION;
D O I
暂无
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
Transmission line protective relaying is an important aspect of a reliable power system operation. The issue has become critical due to wide spread grid integration of distributed energy sources. The power system faults do occur in power system network and are more frequent in transmission and distribution systems. The behaviour of faults changes in the presence of renewable energy (RE) sources. This paper presents the detection of power system faults in the presence of wind power generation. The power system faults such as line to ground (LG), double line (LL), double line to ground (LLG) and three phase fault involving ground (LLLG) has been investigated. An algorithm based on discrete wavelet transform has been utilized for detection of faults under investigation. The current supplied by the wind power system has been found to be key features for the detection of power system faults. The study has been performed using a test system and results have been validated in MATLAB/Simulink environment.
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页数:6
相关论文
共 12 条
[1]   Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations [J].
Dehghani, Moslem ;
Khooban, Mohammad Hassan ;
Niknam, Taher .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 78 :455-462
[2]   Support Vector Machines for classification and locating faults on transmission lines [J].
Ekici, Sami .
APPLIED SOFT COMPUTING, 2012, 12 (06) :1650-1658
[3]   Novel filter based ANN approach for short-circuit faults detection, classification and location in power transmission lines [J].
Fathabadi, Hassan .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 74 :374-383
[4]   Fault location scheme for multi-terminal transmission lines using unsynchronized measurements [J].
Hussain, Shoaib ;
Osman, A. H. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 78 :277-284
[5]  
Krishnanand K.R, INT J ELECT POWER EN, V67, P76
[6]  
Mahela Om Prakash, 2015, 2015 International Conference on Energy Economics and Environment (ICEEE), P1, DOI 10.1109/EnergyEconomics.2015.7235070
[7]   Power Quality Detection in Distribution System with Wind Energy Penetration Using Discrete Wavelet Transform [J].
Mahela, Om Prakash ;
Shaik, Abdul Gafoor .
2015 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATION ENGINEERING ICACCE 2015, 2015, :328-333
[8]   A systematic fuzzy rule based approach for fault classification in transmission lines [J].
Samantaray, S. R. .
APPLIED SOFT COMPUTING, 2013, 13 (02) :928-938
[9]   All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification [J].
Swetapadma, Aleena ;
Yadav, Anamika .
ELECTRIC POWER SYSTEMS RESEARCH, 2015, 123 :1-12
[10]   A fast time-frequency transform based differential relaying scheme for UPFC based double-circuit transmission line [J].
Tripathy, L. N. ;
Samantaray, S. R. ;
Dash, P. K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 77 :404-417