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Rahul Dubey
Nat. Inst. of Technol., Rourkela
Computer Science & IT Electrical & Electronics Engineering Engineering

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A Novel Technique for Asymmetrical Fault Detection Rahul Dubey
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i4.251

Abstract

This paper proposes a novel technique for asymmetrical fault detection (LLL-G) in DFIG based wind form using wavelet based energy function. In this study, there are six wind turbine driven DFIG are grouping together to make wind farm and 9 MW power is feeding to the grid. Further, the rotor is supplied by a bidirectional PWM converter for the control of active and reactive power flows from DFIG to the grid. In the case study, the three-phase fault is created in the grid and proposed algorithm detects the fault with in one and half cycles for 60 Hz system. A new diagnostic method based on the grid modulating signals pre-processing by Discrete Wavelet Transform (DWT) is here proposed to detect grid faults dynamically over time. Simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.
A Novel Technique for Asymmetrical Fault A Novel Technique for Asymmetrical Fault Detection Rahul Dubey
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i4.251

Abstract

This paper proposes a novel technique for asymmetrical fault detection (LLL-G) in DFIG based wind form using wavelet based energy function. In this study, there are six wind turbine driven DFIG are grouping together to make wind farm and 9 MW power is feeding to the grid. Further, the rotor is supplied by a bidirectional PWM converter for the control of active and reactive power flows from DFIG to the grid. In the case study, the three-phase fault is created in the grid and proposed algorithm detects the fault with in one and half cycles for 60 Hz system. A new diagnostic method based on the grid modulating signals pre-processing by Discrete Wavelet Transform (DWT) is here proposed to detect grid faults dynamically over time. Simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.
A Novel Technique for Asymmetrical Fault A Novel Technique for Asymmetrical Fault Detection Rahul Dubey
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.192 KB) | DOI: 10.11591/eei.v1i4.251

Abstract

This paper proposes a novel technique for asymmetrical fault detection (LLL-G) in DFIG based wind form using wavelet based energy function. In this study, there are six wind turbine driven DFIG are grouping together to make wind farm and 9 MW power is feeding to the grid. Further, the rotor is supplied by a bidirectional PWM converter for the control of active and reactive power flows from DFIG to the grid. In the case study, the three-phase fault is created in the grid and proposed algorithm detects the fault with in one and half cycles for 60 Hz system. A new diagnostic method based on the grid modulating signals pre-processing by Discrete Wavelet Transform (DWT) is here proposed to detect grid faults dynamically over time. Simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.
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