Nor Syafiqah Syahirah Mohamed
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Preferred name
Nor Syafiqah Syahirah Mohamed
Official Name
Nor Syafiqah Syahirah, Mohamed
Alternative Name
Syahirah Mohamed, Nor Syafiqah
Mohamed, N. S.S.
Main Affiliation
Scopus Author ID
56405142100
Researcher ID
FXY-8607-2022

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Design and simulation of single phase inverter using SPWM unipolar technique

2020-01-07 , Nurul Farhana Abdul Hamid , Alleef Abd Jalil M. , Nor Syafiqah Syahirah Mohamed

This paper presents the design and simulation of single-phase inverter using sinusoidal pulse width modulation (SPWM) unipolar technique. The circuit has been designed and simulated using the Matlab/Simulink program. Metal Oxide Semiconductor Field Effect Transistor (MOSFET) has been used as a switch. The project aims to use the Matlab/Simulink program to design, analyze and control switching for inverter circuits. Single-phase inverter circuits are divided into three main divisions which are the inverter part that consists of the MOSFET switch, the control circuit which generates switching pulses generated through the microcontroller and filter parts that contain inductors, capacitors and resistors to reduce harmonic. The results of the experiment show the output of the sine wave with the output voltage of 230 V and 50 Hz.

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Optimal sizing of a fixed-tilt ground-mounted grid-connected photovoltaic system with bifacial modules using Harris Hawks Optimization

2024-08-15 , Nor Syafiqah Syahirah Mohamed , Shahril Irwan Sulaiman , Siti Rafidah Abdul Rahim , Azralmukmin Azmi

This paper presents an optimal design for ground-mounted grid-connected bifacial PV power plants using a Computational Intelligence (CI)- based Harris Hawks Optimization (HHO) algorithm. This HHO algorithm identifies the best configuration of components and installation parameters for the bifacial PV power plant, aiming to maximize the final yield, minimize the Levelized Cost of Electricity, and boost the Net Present Value. Four variables were optimized: the bifacial PV module model, inverter model, tilt angle, and module elevation. Furthermore, the paper introduces a Harris Hawks Optimization Sizing Algorithm (HHOSA) to address the sizing challenges. The presented HHOSA was purely developed in Matlab R2017b. The usage of PVsyst was only limited to the derivation of irradiation data at different tilt angle of PV array. These data were later used in HHOSA. To verify its effectiveness, HHOSA was benchmarked against other CI algorithms, including the Slime Mould Algorithm (SMA), Firefly Algorithm (FA), Manta Ray Foraging Optimization (MRFO), and Cuckoo Search Algorithm (COA). The evaluation considered the algorithm's stability, local search capability, convergence rate, computation time, and required population size. Findings suggest that the HHOSA outperforms its peers, marking it as a potential leader for designing bifacial PV power plants. The results indicate that the HHOSA algorithm exhibits superior performance in these aspects, making it a promising approach for optimizing the design of bifacial PV power plants. Moreover, this study provides insights into the economic and technical viability of bifacial PV systems under various environmental and system conditions. A sensitivity analysis, focusing on the interplay of three decision variables − albedo values (25 %, 50 %, and 75 %), tilt angles (10°, 25°, and 35°), and module elevations (0.5 m, 1.5 m, and 2 m) − was conducted. It assessed their influence on final yield, additional bifacial PV module yield, Levelized Cost of Electricity, and the system's Net Present Value. The results emphasize the importance of carefully considering the impacts of albedo, module elevation, and tilt angle on the financial performance of bifacial PV installations.

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Battery monitoring for stand-alone photovoltaic system

2020-01-07 , Nor Syafiqah Syahirah Mohamed , Faezahbintiabdghani N. , Farhana Abd Hamid N.

This project deals with the design of a system to monitor the performance of Photovoltaic (PV) battery for Stand-alone system. This monitoring system is developed by using a Peripheral Interface Controller (PIC) a microcontroller as a control unit. The data measurement will be sent to a personal computer (PC) by Universal Asynchronous Receiver/Transmitter (UART) device and save in database file that can be visualized in table by Microsoft Excel software. The battery monitoring will measure and displayed on the LCD (Liquid Crystal Display) the several parameters of the PV system such as voltage, current, solar irradiance, ambient and cell temperature of the Stand-alone PV system. The State of Charge (SOC), Depth of Discharge (DOD) and ampere-hour (AH) of the battery have been analysed to prove the battery performance of the Stand-alone PV system.

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