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Syahrul Ashikin Azmi
Preferred name
Syahrul Ashikin Azmi
Official Name
Syahrul Ashikin, Azmi
Alternative Name
Azmi, Syahrul Ashikin Binti
Azmi, S. A.
Azmi, Syahrul A.
Affandi Saidi, S.
Main Affiliation
Scopus Author ID
54928364200
Researcher ID
X-2468-2019
Now showing
1 - 10 of 15
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PublicationDesign of concentrated solar power water desalination system (CSPWDS)( 2023-03-29)
;Mahmood A.N. ;El-Khazali R.This work focuses on designing a concentrated solar power water desalination system (CSPWDS). A set of four Fresnel lenses (FRL) are used to concentrate the solar power at their corresponding focal points. The objective is to focus the irradiance power at a small area, where the temperature could reach over a 1000 Cat its focal point. This study investigates a design method of a CSPWDS that includes an investigation of the effectiveness of using FRLs for water desalination. The system automatically tracks the sun to improve its production rate. Four spiral copper pipes receivers are designed to convert the saline water into a steam that is directed upward to benefit from the gravitational force. The salt residue in the steam is then filtered out due to both using a special membrane and due to gravity force. A condensation process is then followed to condense the steam into water. The salinity of the condensed steam is tested to ensure a good quality of the desalinated water. The process is continuously monitored to improve the quality of the generated water. If the level of water salinity is still high, a feedback path is implemented to repeat the process until the quality of the desalination is met. -
PublicationA hybrid multi-objective Evolutionary Programming-Firefly Algorithm for different type of Distributed Generation in distribution system( 2022-12-01)
;Noor Najwa Husnaini Mohammad Husni ; ; ;Hussain M.H. ;Musirin I.With the rise in electricity demand, various additional sources of generation, known as Distributed Generation (DG), have been introduced to boost the performance of power systems. A hybrid multi-objective Evolutionary Programming-Firefly Algorithm (MOEPFA) technique is presented in this study for solving multi-objective power system problems which are minimizing total active and reactive power losses and improving voltage profile while considering the cost of energy losses. This MOEPFA is developed by embedding Firefly Algorithm (FA) features into the conventional EP method. The analysis in this study considered DG with 4 different scenarios. Scenario 1 is the base case or without DG, scenario 2 is for DG with injected active power, scenario 3 is for DG injected with reactive power only and scenario 4 is for DG injected with both active and reactive power. The IEEE 69-bus test system is applied to validate the suggested technique. -
PublicationIntegration of Multiple Distributed Generation Sources in Radial Distribution System Using a Hybrid Evolutionary Programming-Firefly Algorithm(Universiti Malaysia Perlis, 2024-02-29)
;Nik Hasmadi Nik Hassan ; ; ; ; ;Ismail MusirinSazwan IshakThis paper presents an approach for the optimal integration of multiple distributed generation (DG) sources in a radial distribution system. The integration of DG sources poses various challenges such as can lead to higher power losses caused by reverse power flow, voltage exceeding secure limits, voltage stability, power quality, and economic operation. To address these challenges, a hybrid algorithm is proposed which combines the benefits of both Evolutionary Programming and Firefly Algorithm. The proposed hybrid Evolutionary - Firefly Algorithm is employed for the determination of the optimal size of the DG sources. The objective of the proposed algorithm is to minimize the total system power losses and improve the voltage profile. The algorithm considers various constraints including the DG capacity limits and voltage limits. A comprehensive case study is conducted on a radial distribution system to demonstrate the effectiveness of the proposed approach. The simulation results show that the hybrid algorithm can find the optimal size and location of DG sources while achieving the desired system performance. The integration of multiple DG sources leads to a significant reduction in power losses and improved voltage profile. Furthermore, the proposed approach provides a flexible framework for the optimal integration of DG sources in radial distribution systems, allowing for the accommodation of different types and capacities of DG sources. The proposed technique is tested on the IEEE Reliability Test systems, specifically the IEEE 69-bus. The combination of DG at bus 61 and bus 27 yields a loss reduction index of 94%. -
PublicationA comparative study on DG placement using marine predator and Osprey algorithms to enhance loss reduction index in the distribution system(Iran University of Science and Technology, 2025-06)
; ; ; ; ;Syazwan Ahmad SabriIsmail MusirinThe Marine Predator Algorithm (MPA) and Osprey Optimization Algorithm (OOA) are nature-inspired metaheuristic techniques used for optimizing the location and sizing of distributed generation (DG) in power distribution systems. MPA simulates marine predators' foraging strategies through Lévy and Brownian movements, while OOA models the hunting and survival tactics of ospreys, known for their remarkable fishing skills. Effective placement and sizing of DG units are crucial for minimizing network losses and ensuring cost efficiency. Improper configurations can lead to overcompensation or undercompensation in the network, increasing operational costs. Different DG technologies, such as photovoltaic (PV), wind, microturbines, and generators, vary significantly in cost and performance, highlighting the importance of selecting the right models and designs. This study compares MPA and OOA in optimizing the placement of multiple DGs with two types of power injection which are active and reactive power. Simulations on the IEEE 69-bus reliability test system, conducted using MATLAB, demonstrated MPA’s superiority, achieving a 69% reduction in active power losses compared to OOA’s 61%, highlighting its potential for more efficient DG placement in power distribution systems. The proposed approach incorporates a DG model encompassing multiple technologies to ensure economic feasibility and improve overall system performance. -
PublicationFuzzy Logic Cascaded Current Control of DC Motor Variable Speed Drive using dSPACE( 2023-01-01)
; ;Ni L.P. ; ; ; ; ; ;Jusman Y.Two-wheel e-scooter falls under low power segment for Battery Electric Vehicle (BEV) and has gain more popularity in urban commuting. Most entry level e-scooter is still powered by DC motor due to low cost and ease of control. However basic open-loop DC Motor control employed through throttling is plugged with limited efficiency, precision, and range of speed control. Closed-loop control enables real time adjustment according to preset speed which becomes handy during auto cruising. To ensure good dynamic response, improved robustness and stable wide speed control range, a good control scheme for the motor is essential. In this project, a variable speed control scheme, namely fuzzy logic cascaded current control system was designed using MATLAB Simulink, comprising speed control loop and a current control loop 185 W Separately Excited Brushed DC Motor. The proposed control system was tested on hardware using dSPACE DS1104 platform. The system's output speed is obtained using an incremental encoder, while the output current is measured with a current sensor. Subsequently, the control system's stability, robustness, and dynamic performance were evaluated by driving the system on 120 W electrical load at varying speed. The system performance has proved superior to closed-loop by 70% on low speed ripple reduction and is on par with PI cascaded current control scheme.1 -
PublicationAssessment of Control Drive Technologies for Induction Motor: Industrial Application to Electric Vehicle( 2021-06-11)
; ; ; ; ; ;Zamri Che Mat KasaNowadays electric vehicle has increasingly gained much popularity indicated by growing global share market targeted at 30% by 2030 after recording 7.2million global stock in 2019. Compared to Internal Combustion Engine (ICE) counterpart, Battery Electric Vehicles (BEV) produce zero tailpipe emission which greatly reducing carbon footprints. Induction motor has been widely used and its control technology has evolved from scalar type volt/hertz to recent predictive control technology. This allows induction motor's application to expand from being the workhorse of industry to become prime mover in electric vehicle, where high performance is expected. Among vector control scheme, Direct Torque Control (DTC) has gained interest over Field Oriented Control (FOC) with simpler structure, better robustness and dynamics performance yet suffer from high torque and flux ripple. In electric vehicle applications, high ripple at low speed is highly undesirable, potentially causing torsional vibration. High performance control requires speed sensor integration, which often increase complexity in the design. The work aims to review the best control technology for induction motor in electric vehicle application through performance parameter evaluation such as improvement on dynamic response, torque and flux ripple reduction, and component optimization. Several arise issues in motor control and possible methods to circumvent are highlighted in this work. In conclusion, model predictive torque control (MPTC) is the most promising scheme for electric vehicle with excellent dynamic response, good low speed performance, and 50% torque ripple reduction compared to conventional DTC and potential integration with sliding mode observer for sensorless solution.1 38 -
PublicationPerformance Analysis of a Switched-Mode Flyback DC-DC Converter with Influence of Non-Ideal Switching Devices( 2023)
;Shazlin Shafiqah Shamsul Kamar ;This paper approach for the performance analysisof a dc-dc flyback converter for low power application. Modelling is done with parasitic components for non-ideal flyback converter. Ac and dc input characteristic of the flyback converter are analysed and investigated by PSIM simulations and calculations. The influence of parasitic effects in converter components on input characteristic is studied in continuous conduction mode (CCM).The results of the calculation based on analytical formula and averaged models are in a good accordance with PSIM simulations and calculation. The goal of this project is to compare an ideal and non-ideal condition in order to see the effect on the efficiency and ability of the converter to control the output voltage. The converter is expected to be operated in continuous conduction mode at all time and focus application islow power application that less than 100W.4 9 -
PublicationDesign and Development of Cascaded Current Control in DC Motor Variable Speed Drive using dSPACE( 2023-01-01)
; ;Davendren T. ; ; ; ;Hassan A. ; ;Even today, DC motors are still used in variety of applications, including home appliances, transportation, as well as industrial crane and rolling machine. However, achieving precise speed and torque control in DC drives at industry level could be challenging, as instability and reduced efficiency remains at large. This project focuses on developing a cascaded control system for a Separately Excited Brushed DC motor using dSPACE platform. The cascaded control system, designed using MATLAB Simulink, incorporates a proportional-integral (PI) controller at the speed loop and a Hysteresis controller at the current loop to improve robustness and dynamic performance. The experimental setup utilizes the dSPACE 1104 platform, an asymmetric bridge converter board, gate driver, and electrical load. Speed measurement is done using an incremental encoder, while current is measured using the ACS712 current sensor. The drive system was tested in alternate low and high speed cycle on various load level to test for stability, robustness and dynamic performance. The proposed control system was compared with PI-closed-loop control and open-loop control determine the best drive performance. Experimental results showed significant improvement in term of transient response and ripple reduction of speed and current for proposed cascaded current control over the closed-loop design.6 33 -
PublicationAC power flow analysis for inverters in microgrid applicationIn a microgrid system, proper current distribution and load sharing strategies are essential to achieve reliable parallel operation. Line impedance is an important factor when implementing a control technique for an inverter for microgrid operation, whether it is operating in grid connected or island mode. It is sometime difficult to visualize the impact of different line impedance to the power flow in AC microgrid. In this paper, AC power flow of an inverter-based system connected to a common ac bus through purely resistive, inductive or complex line impedances is investigated. For each line impedance case, the effect of an inverter's output voltage power angle and amplitude on the active and reactive power flow are studied. Several active and reactive powers plots are generated in 3D surf plots to visualize the impact of line impedance on the power flow in an AC system.
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PublicationComparative Evaluation of Three-Phase Inverter Topologies Based on Voltage Boosting Features( 2023-01-01)
;Yee C.S. ; ;Hwai L.J. ; ;Zahari M.Z.A.Voltage source inverter (VSI) is commonly used in industrial due to its stable operation and low cost. However, VSI needs to operate with an extra converter stage which is a DC-DC converter for voltage boosting purposes. In contrast, current source inverter (CSI) inherits voltage boosting features may become an alternative option to VSI. Yet, there were minimal research on CSI that dedicates to the voltage boosting features. This research focuses on comparing the voltage boosting features of CSI and VSI in both open-loop and closed-loop conditions. The performance of VSI and CSI are simulated using MATLAB/Simulink. Under open-loop operation, CSI produces a voltage boosting capability at approximately 55% higher than VSI. Yet, CSI suffers high THD percentage as compared to VSI for the same switching frequency. This high THD shortcoming can be easily resolved by using a simple CL filter. For closed-loop operation, VSI and CSI with voltage-controlled synchronous frame PI control systems are proven to have good reference tracking and harmonic rejection and are suitable to be implemented for household applications or for a standalone system. Interestingly, CSI closed-loop system can achieve a wider range of output due to the voltage boosting capability and provide a better quality of output waveform as compared to VSI.1 25