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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Indonesian Journal of Electrical Engineering and Computer Science
Nur Hanis Mohammad Radzi
Universiti Tun Hussein Onn Malaysia
Control & Systems Engineering Electrical & Electronics Engineering

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Optimal design of a single-phase APF based on PQ theory Dur Muhammad Soomro; Sager K. Alswed; Mohd Noor Abdullah; Nur Hanis Mohammad Radzi; Mazhar Hussain Baloch
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.348 KB) | DOI: 10.11591/ijpeds.v11.i3.pp1360-1367

Abstract

The instantaneous active and reactive power (PQ) theory is one of the most widely used control theory for shunt active power filter (SAPF), which can be implemented in single-phase and three-phase systems. However, the SAPF with PQ theory still had ability to improve to become more efficient. This paper presents the optimal design of a single-phase SAPF in terms of reducing the current harmonic distortion and power loss in voltage source inverter (VSI) controlled with the semiconductor switching devices IGBT, MOSFET and Hybrid (combination of IGBT and MOSFET). In order to reduce the switching frequency and power loss of VSI, instead of using single-band hysteresis current controller (HCC), double-band HCC (DHCC) and triple-band HCC (THCC) is used in the SAPF. The designed SAPF is tested with different non-linear loads to verify the results by using MATLAB Simulink.
Optimize single line to ground fault detection in distribution grid power system using artificial bee colony Feryal Ibrahim Jabbar; Dur Muhammad Soomro; Mohd Noor bin Abdullah; Nur Hanis Mohammad Radzi; Mazhar Hussain Baloch; Asif Ahmed Rahmoon; Hassan Falah Fakhruldeen
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i3.pp1286-1294

Abstract

The most common power system (PS) distribution network fault, single lineto-ground fault (SLGF), causes residual current (I res) to start an electrical arc and high voltage (HV) three times the rated voltage in other healthy phases. HV from capacitive currents (IC) damages cable insulation and PS appliances. Peterson The neutral point coil (PC) reduces (I res) and extinguishes the electric arc, but the fault current (I fault) remains below the protection devices' threshold. Operations and equipment are riskier. PC adaptive eliminates electrical arcs, making the network safer. This paper detects I faults online using Texas instrument validation in MATLAB and adaptive by artificial bee colony (ABC). This paper discusses Texas instrument fault current detection and MATLAB validation. It improves system reliability, device protection, and copper savings by thousands of tons. ABC intelligently optimizes many mathematical problems. ABC with network neural artificial intelligence (AI) improves algorithm performance (artificial bee colony network neural (ABCNN)). This new method may improve distribution network SLGF detection. This first work can work online in electrical power stations by building the (eZdsp F28335-RS232) into the program to send fault signals to the control when SLGF occurs without damaging devices, equipment, cables, or power outages.
Co-Authors Asif Ahmed Rahmoon Dur Muhammad Soomro Feryal Ibrahim Jabbar Hassan Falah Fakhruldeen Mazhar Hussain Baloch Mazhar Hussain Baloch Mohd Noor Abdullah Mohd Noor bin Abdullah Sager K. Alswed