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Fault Analysis in HVDC Systems Using Signal Processing Techniques. Benish Paily School of Electrical and Electronic Engineering You Supervisors’ Names Here Dr. Malabika Basu Dr. Michael Conlon 29 th November, 2013. Presentation Overview. HVDC-Next Dimension. Current Link HVDC System
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Fault Analysis in HVDC Systems Using Signal Processing Techniques BenishPaily School of Electrical and Electronic Engineering You Supervisors’ Names Here Dr. MalabikaBasu Dr. Michael Conlon 29th November, 2013
HVDC-Next Dimension Current Link HVDC System Voltage Link HVDC System Total 200,000MW HVDC Transmission Capacity in operation or under construction 170 Projects around the world ABB: 90 Projects, 120,000MW HVDC Light Technology Siemens: HVDC Plus Technology
HVDC Projects HVDC Projects in Europe (ABB) East West Interconnector (HVDC Light)2013, connecting Ireland and Wales Link between Ireland and Wales Power rating: 500MW AC Voltage: 400 kV DC Voltage:± 200kV DC Underground cable: 2*75 km DC Submarine cable: 2*186 km
Fault Analysis of HVDC Systems HVDC system subjected to DC Line Fault HVDC system subjected to AC line fault at Rectifier & Inverter side Single line to ground fault (SLG) Line to line fault (LL) Double line to ground fault (DLG) Triple line to fault (3L) Line to ground fault Line to line fault
Faults in HVDC System DC Faults DC Current increases to 2.2 p.u. AC Faults DC Current DC Voltage DC Voltage falls to zero at the rectifier
Fault Identification in HVDC System abc to dq0 transformation Computes the direct axis, quadratic axis and zero sequence quantities in a two-axis rotating reference frame for a three-phase sinusoidal signal Known as Park transformation
abc to dq0 transform in DC and AC fault of HVDC Peak Magnitude of DQ under DC faults
abc to dq0 transform (conti.) Peak Magnitude of DQ values under AC faults at Rectifier side
Wavelet Transform • Mathematical Technique • 2. Analysing signals simultaneously in time and frequency
Wavelet transform in DC and AC fault of HVDC DC faults at 150 km, 250 km
Wavelet transform (cont.) SLG and LL Fault
Conclusions 1. Fault Identification in HVDC system is a challenging process because it should be accurate and fast 2. abc to dq0 and wavelet transform can be applied to fault identification 3. In fault identification abc to dq0 transform performed very well but the accuracy of fault distance estimation was poor. 4. Wavelet transform is considered as a powerful signal processing tool for transient analysis of signal 5. Wavelet transformation effectively proved that it can detect the abrupt changes of the signal indicative of a fault.