A5087597546- Advanced Battery Technologies Research
- Photovoltaic System Optimization Techniques
- Electric Vehicles and Infrastructure
- solar cell performance optimization
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Solar Radiation and Photovoltaics
- Advanced DC-DC Converters
- Hybrid Renewable Energy Systems
- Multilevel Inverters and Converters
- Electric and Hybrid Vehicle Technologies
- Advanced Thermoelectric Materials and Devices
- Silicon Carbide Semiconductor Technologies
- High voltage insulation and dielectric phenomena
- Dielectric materials and actuators
- Optimal Power Flow Distribution
- Energy and Environment Impacts
- Innovative Energy Harvesting Technologies
- Polymer Nanocomposites and Properties
- Real-time simulation and control systems
- Power Systems Fault Detection
- Energy Harvesting in Wireless Networks
- Embedded Systems and FPGA Design
- Service-Learning and Community Engagement
- Smart Parking Systems Research
University of Technology Malaysia
2016-2025
Newcastle University Medicine Malaysia
2024
Universiti Tenaga Nasional
2021
The area of a Microgrid (μG) is very fast-growing and promising system for overcoming power barriers. This paper examines the impacts microgrid considering Electric Vehicle Grid Integration (EVGI) based on stochastic metaheuristic methods. One biggest challenges to slowing down global climate change transition sustainable mobility. Renewable Energy Sources (RESs) integrated with Evs are considered solution environmental issues needed achieve Sustainable Development Goal Seven (SDG7) Climate...
Considering the rapidly evolving microgrid technology and increasing complexity associated with integrating renewable energy sources, innovative approaches to management are crucial for ensuring sustainability efficiency. This paper presents a novel Fuzzy Logic-Based Particle Swarm Optimization (FLB-PSO) technique enhance performance of hybrid systems. The proposed FLB-PSO algorithm effectively addresses challenge balancing exploration exploitation in optimization problems, thereby enhancing...
Using a photovoltaic (PV) emulator (PVE) simplifies the testing of PV generation system. However, conventional controllers used for PVEs suffer from oscillating output voltage, requiring high number iterations, or being too complex to be implemented. This paper proposes controller based on resistance feedback control strategy that produces stable and fast converging operating point PVE. The requires new type model, which is current-resistance (I-R) model. model computed using binary search...
ABSTRACT This paper presents a novel transformerless common Ground 5‐level inverter (TCG5LI) that employs single DC‐source switched–capacitor structure, providing dynamic high‐voltage boosting capability while requiring fewer power switches. innovative topology significantly reduces leakage current from the parasitic capacitor of photovoltaic (PV) panels, thereby minimizing common‐mode voltage. Additionally, inverter’s fault‐tolerant design enhances reliability under conditions switch...
Energy Management Strategy (EMS) as a control strategy for microgrid (MG) systems is complex task to operate the integrated power and utilize consumer-based. Alternative energy sources such solar wind can be used generate that electrical appliances when combined with storage units. Additionally, other complement drawbacks of each source. But common drawback aforementioned are naturally unpredictable climatology changes dependent. The main aim this study minimize cost losses system, contrary,...
Minimizing energy costs while maintaining consumer satisfaction is a very challenging task in smart home. The contradictory nature of these two objective functions (cost and level) requires multi-objective problem formulation that can offer several trade-off solutions to the consumer. Previous works have individually considered cost satisfaction, but there lack research considers both objectives simultaneously. Our work proposes an optimum home appliance scheduling method obtain level with...
Photovoltaic (PV) emulator (PVE) is a non‐linear power supply that produces similar output to of the PV module. It requires closed‐loop controller such as proportional–integral (PI) and fuzzy logic controllers operate properly. The PI has low‐computational burden not robust since transient response varies under different load conditions. Although robust, it high‐computation capability. This study proposed an alternative approach called shift for PVE easily compute maintain fast various...
The global population's continuous growth has speeded up the search for an efficient ways of crop production. More significant environmental and food safety considerations are pushing farmers to track incorporate inputs reliably. latest technology research results increasingly used in agriculture, especially intensive cultures that ensure remunerative returns. This paper aims design, simulate, verify, analyze, develop agricultural robot localization system greenhouse environment using...
<span>A Photovoltaic (PV) emulator is a device that produces similar output as the PV module and it useful for testing generation system. This paper present new simple control strategy using combination of Resistance Comparison Method with Integral Controller. The closed-loop buck converter system current-mode controlled single diode model are used emulator. results obtained from proposed compared conventional Direct Referencing strategy. more accurate output, 74 % faster transient...
<p>The photovoltaic (PV) emulator is a nonlinear power supply that features the similar characteristic of PV module. However, module causes instability output. The conventional solution to operate in overdamped condition which results poor dynamic performance. This drawback solved by manipulating proportional and integral gains proportional-integral (PI) controller. In this paper, artificial neural network used adaptive PI controller maintain stable fast response emulator. has been...