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Hairol Nizam Mohd Shah
Universiti Teknikal Malaysia Melaka (UTeM)
Electrical & Electronics Engineering

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A review on SVC control for power system stability with and without auxiliary controller Zalina Kamis; Mohd Ruddin Ab.Ghani; Muhammad Nizam Kamarudin; Hairol Nizam Mohd Shah; Jano Zanariah
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.633 KB) | DOI: 10.11591/eei.v8i3.1318

Abstract

Since the beginning of the last century, power system stability has been recognized as a vital problem in securing system operation. Power system instability has caused many major blackouts. This paper reviewed the previous technical works consisting of various methods of optimization in controlling power system stability. The techniques presented were compared to optimize the control variables for optimization of power system stability. Power system stability enhancement has been investigated widely in literature using different ways. This paper is focusing on SVC performance for enhancing power system stability either through SVC controlled itself or SVC controlled externally by other controllers. Static VAR compensators (SVCs) are used primarily in power system for voltage control as either an end in itself or a means of achieving other objectives, such as system stabilization.The analysis on performance of the previous work such as advantages and findings of a robust method approach in each technique was included in this paper.
Vision-based autonomous mapping and exploration on robot tracked vehicle Hairol Nizam Mohd Shah; Muhamad Afif Mat Yusoff; Zalina Kamis; Azhar Ahmad; Mohd Rizuan Baharon; Mohd Ali Arshad
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5952

Abstract

Vision based mapping is an emerging technology with decades of research advancements. The most famous mapping method available is silmuntaneous localization and mapping (SLAM) which provide an accurate map projected in a simulation. Unfortunately, SLAM requires an active sensor in order to acquire the data from its environment opposite the vision-based mapping which requires a passive sensor to collect data. This project aims to develop an autonomous mapping and exploration algorithm, design a controller for the robot-tracked vehicle and analyze the accuracy of the algorithm. The problem in autonomous mapping is precision, limitation of computational power and complex computation. So, the algorithm will be based on the visual odometer algorithm through a single-visual sensor. The robot tracker has also been designed and implemented on Raspberry Pi 3. The accuracy of two object with different height was calculated to ensure the validation of the algorithm being able to project the real object in 3D projection. The result for the task is shown in figures as to present the capability of the algorithm in projecting the map in 3D projection. The algorithm works as expected but still requires improvements to increase the precision of the map projection.
Co-Authors Azhar Ahmad Jano Zanariah Mohd Ali Arshad Mohd Rizuan Baharon Mohd Ruddin Ab.Ghani Muhamad Afif Mat Yusoff Muhammad Nizam Kamarudin Zalina Kamis