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All Journal International Journal of Electrical and Computer Engineering International Journal of Applied Power Engineering (IJAPE)
Mid, Ernie Che
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Computer Science & IT Electrical & Electronics Engineering

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Multiple faults detection in doubly-fed induction generator wind turbine using artificial neural network Fadzail, Noor Fazliana; Zali, Samila Mat; Mid, Ernie Che
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3342-3349

Abstract

The development of fault detection methods in wind turbine (WT), especially for single fault detection, is continuously increasing. However, the rapid growth of fault detection in WT leads to another challenge where multiple faults can occur. The single fault detection method in WT is no longer reliable, especially when multiple faults occur simultaneously. Therefore, multiple faults detection in doubly-fed induction generators (DFIG) WT was proposed using an artificial neural networks (ANN) model. These multiple faults include internal and external stator faults happening simultaneously. Internal stator faults cover inter-turn short circuit faults and open circuit faults, while external stator faults cover loss of excitation and external short circuit faults. The performance of the developed multiple faults detection model was measured using accuracy and the root mean square error (RMSE) value. The results show that the developed model performs well with high accuracy and a low RMSE value. Thus, the developed model can accurately detect the coexistence of multiple faults in DFIG WT.
Power losses analysis for reduced switch 9-level cascaded H-bridge multilevel inverter Ismail, Mohammad Haziq; Isa, Zainuddin Mat; Arshad, Mohd Hafiz; Mid, Ernie Che; Ismail, Baharuddin; Talib, Md Hairul Nizam
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp808-814

Abstract

This study provides a thorough examination of power losses and total harmonic distortion (THD) in single-phase 9-level cascaded H-bridge multilevel inverters (CHB MLI) at low switching frequencies. The aim is to analyze the efficiency of a single-phase 9-level cascaded CHB MLI using three distinct switch configurations: 16-switch, 11-switch, and proposed 8-switch. The calculated switching angles are optimized using the feed-forward methodology. Two types of load conditions—R load and R-L load—are being examined. The results suggest that the proposed 8-switch design exhibits superior efficiency by limiting power losses compared to other topologies. Regarding THD, the conventional topology yields a somewhat lower value, however, the disparity is less than 1% when compared to both reduced switch topologies.
Co-Authors Arshad, Mohd Hafiz Fadzail, Noor Fazliana Isa, Zainuddin Mat Ismail, Baharuddin Ismail, Mohammad Haziq Md Hairul Nizam Talib Zali, Samila Mat