Muzaidi Othman @ Marzuki
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Preferred name
Muzaidi Othman @ Marzuki
Official Name
Muzaidi, Othman @ Marzuki
Alternative Name
Muzaidi, O.
Othman, Muzaidi Bin
Othman, Muzaidi B.
Bin Othman Marzuki, Muzaidi
Othman, Muzaidi
Othman, M.
Main Affiliation
Scopus Author ID
57213722908
Researcher ID
ABK-3604-2022

Research Output

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Implementation of Two-Stage Multilevel Inverter System using PIC Controller

2022-10-01 , Mohd Saifizi Saidon , Muhammad Izuan Fahmi Romli , Muzaidi Othman @ Marzuki , Wan Azani Wan Mustafa , Muhammad Zaid Aihsan , Mohd Rizal Manan , Mohd Azri Abd Aziz

In this study, the Cascaded H-Bridge Multilevel Inverter (CMLI) is described for use with infrared dryer loads. Because of the low harmonic distortion content and reduced voltage stress in the switching devices, CMLI is one of particular interest. The CMLI topology and the Selective Harmonic Elimination Pulsed Width Modulation (SHEPWM) technology were studied and evaluated. To evaluate the inverter, SHEPWM modulation was studied and applied. The system also includes a DC-DC converter. The converter was designed to be used in infrared drying system powered by direct current (DC) power where an increased output voltage is required. This study also presented an evaluation of performance using infrared load of the CMLI based on power used at 100 W. As a result, a comparison of input power was made, and an assessment into the converter's power quality in terms of harmonic content and overall efficiency was conducted. The implementation of the system by hardware had been able to reduce the harmonic to 15.5%.

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Grounding performance of hydrogel, silica gel and charcoal ash as additive material in grounding system

2024-06 , Wooi Chin Leong , Shafirol Nizam Osman , Hadi Nabipour Afrouzi , Syahrun Nizam Md Arshad @ Hashim , Kamyar Mehranzamir , Muzaidi Othman @ Marzuki

Grounding enhancement materials (GEMs) are one of the additive materials which can change the grounding performance without lots of significant costs. The study aimed to assess the performance of laterite and peat soil, copper and galvanized conductors, and determine the effectiveness of additional materials in reducing grounding resistance. Altering soil characteristics can enhance the conductor's contact area, achieving lower grounding resistance without high costs. Hydrogel, silica gel, and charcoal ash were mixed with soil for testing. Grounding resistance values were measured and collected using the Fall-of-Potential Method using Kyoritsu Earth-Tester-Model-4102. The number of GEMs used were 300g and 600g. Hydrogel, silica gel, and charcoal ash added to soil reduced grounding resistance. Among the various Ground Enhancement Materials (GEMs) tested, hydrogel exhibited the most impressive performance, boasting the lowest grounding resistance at just 56% compared to the reference grounding system. Silica gel followed closely as the second-best performer, with an average grounding resistance of 77% relative to the reference system and lastly is charcoal ash with an average grounding resistance of 77% relative to the reference system. These GEMs significantly enhanced soil conductivity. Furthermore, when considering different soil types and conductor materials, it was observed that peat soil combined with galvanized conductors achieved notably lower grounding resistance in comparison to laterite soil and copper conductors, respectively.

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Optimized allocation of lightning protection system using PSOGSA

2023 , Jia Wen Tang , Wooi Chin Leong , Wen-Shan Tan , Hadi Nabipour Afrouzi , Syahrun Nizam bin Md Arshad Hashim , Muzaidi Othman @ Marzuki

In this paper, the hybrid PSOGSA, which is a combined algorithm of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), is proposed to find the optimum locations for the lightning protection system on the 81- bus radial distribution system. Moreover, the System Average Interruption Frequency Index (SAIFI) is considered as the objective function and will be minimized. The main advantage of this work is the simplicity and convenience of finding an optimal solution using the proposed PSOGSA algorithm. Additionally, PSOGSA is also capable of finding the optimal locations for applying a lightning protection system (LPS) in a distribution network, while minimizing SAIFI and maintaining computational efficiency. To validate the effectiveness of the proposed algorithm, numerical simulations are carried out considering the interdependency between lightning phenomena and the distribution feeder characteristics, namely, the flashover rates due to direct and induced lightning. In addition, a comparison between PSO, GSA, and PSOGSA is made to compare and validate the performance of the algorithms. The results show that the latter is better at escaping from local optima and has a faster convergence than the standard PSO and GSA. PSOGSA also managed to achieve a higher reduction of 12.10% SAIFI after applying LPS on the optimal feeders, as compared to the 10.79% and 11.77% reduction of SAIFI by GSA and PSO, respectively. PSOGSA also has a faster convergence speed than PSO.

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