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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Advances in Applied Sciences
Noor, Siti Zaliha Mohammad
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Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Fuzzy logic control based MPPT for standalone photovoltaic system with battery storage Taib, Nur Syafiqah Mohd; Noor, Siti Zaliha Mohammad; Musa, Suleiman; Aziz, Pusparini Dewi Abd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2527-2536

Abstract

Considering its favorable characteristics, photovoltaic energy is widely recognized as highly beneficial to the environment. To achieve continuous maximum output power across the PV system, an efficient control strategy is developed after studying several maximum power point detection (MPPT) techniques. Consequently, this paper presents a useful control technique for maximizing power extraction from PV systems under varying conditions. The paper focuses on the design of a fuzzy logic control (FLC)-based maximum power point tracking (MPPT) system for a standalone photovoltaic (SAPV) system with battery storage. The FLC is employed to extract the maximum power from a PV module and integrate it with the battery to supply the load. The FLC offers advantages over conventional MPPT methods, such as accurate and rapid response to changes in environmental conditions, including solar irradiance and temperature. The PV system exhibits low total harmonic distortion (THD), making it ideal for household appliances, and can deliver 230 Vrms of single-phase output AC power. The system is designed and implemented in MATLAB/Simulink, incorporating a solar module, DC-to-DC converters, battery storage, and an inverter for supplying AC loads. Simulation results for selected test conditions are presented and discussed. The system performance is evaluated through steady state tests and dynamic tests in simulations.
Dynamic voltage restorer (DVR) in a complex voltage disturbance compensation Mansor, Muhammad Alif; Othman, Muhammad Murtadha; Musirin, Ismail; Noor, Siti Zaliha Mohammad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.199 KB) | DOI: 10.11591/ijpeds.v10.i4.pp2222-2230

Abstract

Nowadays, a distribution network is operating in a stressful manner because of a complex voltage disturbance stirred by its nonlinear, intensified, sensitive and complex loading condition with vast proliferation of electronic equipment required for the integration of renewable energy. A distribution network that mostly inflicted by the complex voltage disturbance can be referred to as the merge of stationary voltage disturbances with a short duration voltage disturbance under a nonlinear loading condition. Therefore, the dynamic voltage restorer (DVR) integrating with the battery bank will have enough energy storage to overcome long and deep complex voltage disturbance that occurs in a distribution network installed with the photovoltaic (PV) system. The results are obtained with satisfactorily findings in compensating the complex voltage disturbance using DVR.
Optimal location and sizing of battery energy storage system using grasshopper optimization algorithm Razali, Nur Syifa Nasyrah; Yasin, Zuhaila Mat; Dahlan, Nofri Yenita; Noor, Siti Zaliha Mohammad; Ahmad, Nurfadzilah; Hassan, Elia Erwani
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp647-654

Abstract

An energy storage system called a battery energy storage system (BESS) collects energy from various sources, builds up that energy, and then stores it in rechargeable batteries for future use. The battery's electrochemical energy can be discharged and supplied to buildings such as residences, electric cars, and commercial and industrial buildings. The advantages of utilizing BESSs, such as minimizing energy loss, improving voltage profile, peak shaving, and increasing power quality, may be reduced if incorrect decisions about the appropriate position and capacity for BESSs are chosen. Furthermore, the optimal position and size for BESSs are critical since deploying a BESS at every bus, particularly in an extensive network, is not a cost-effective option, and installing oversized BESSs would result in higher investment expenses. Hence, this study suggests a proficient method for identifying the most suitable position and the sizes of BESS to save costs. The grasshopper optimization algorithm (GOA) and evolutionary programming (EP) were employed to address the optimization challenge on the IEEE 69-bus distribution test system. The goal of the optimization is to minimize the overall cost. The findings indicate that the GOA has strong resilience and possesses a superior capacity for optimizing cost reduction in comparison to EP.
Co-Authors Ahmad, Nurfadzilah Aziz, Pusparini Dewi Abd Dahlan, Nofri Yenita Hassan, Elia Erwani Mansor, Muhammad Alif Musa, Suleiman Musirin, Ismail Othman, Muhammad Murtadha Razali, Nur Syifa Nasyrah Taib, Nur Syafiqah Mohd Yasin, Zuhaila Mat