NDLI: Fault classifications of MV transmission lines connected to wind farms using non-intrusive fault monitoring techniques on HV utility side

Content Provider	IET Digital Library
Author	Chang, Hsueh Hsien
Abstract	The fault classification of medium-voltage transmission lines consisting of wind farms connected to the high-voltage (HV) transmission networks is carried out using the power-spectrum-based hyperbolic S-transform (HST) powerful technique for analysing non-linear and non-stationary fault signals through the non-intrusive monitoring systems. The HST technique extracts the useful features in the time-frequency domain from measuring fault current waveforms of the HV utility side to discriminate the fault types. Parseval's theorem is applied to each HST coefficient to quantify the energy distribution of various fault types for reducing the size of inputs for recognition algorithms. Next, multiclass support vector machines achieve identification. The results have proved that the proposed classification technique is independent of fault resistance, source impedance, and fault inception angles. Extensive simulations are conducted using the electromagnetic transients program to show that the recognition accuracy of the fault classification for all types is up to 96.84%.
Starting Page	6518
Ending Page	6525
Page Count	8
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 26, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0198
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/26
Journal	IET Generation, Transmission & Distribution
Publisher Date	2021-01-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Digital Signal Processing Electromagnetic Transients Program EMTP Energy Distribution Fault Classification Fault Current Fault Current Waveform Fault Diagnosis Fault Inception Angles Fault Resistance Feature Extraction High-voltage Transmission Network HST Technique HV Utility Side Mathematical Analysis Medium-voltage Transmission Line Multiclass Support Vector Machine MV Transmission Line Nonintrusive Fault Monitoring Technique Nonstationary Fault Signal Pattern Recognition Power Engineering Computing Power System Protection Power Transmission Cables Power Transmission Fault Power Transmission Line Power Transmission Protection Power-spectrum-based Hyperbolic S-transform Technique Recognition Algorithm Signal Processing And Detection Statistics Support Vector Machine Time-frequency Analysis Time-frequency Domain Wind Farm Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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