A5090187932- Photovoltaic System Optimization Techniques
- Islanding Detection in Power Systems
- Microgrid Control and Optimization
- Energy and Environment Impacts
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Power Systems Fault Detection
- Optimal Power Flow Distribution
- Electric Vehicles and Infrastructure
- Energy Load and Power Forecasting
- Solar Thermal and Photovoltaic Systems
- Electric Power System Optimization
- Advanced Battery Technologies Research
- Power System Optimization and Stability
- AI in cancer detection
- Smart Grid Energy Management
- Advanced DC-DC Converters
- Multi-Criteria Decision Making
- Integrated Energy Systems Optimization
- Phytoplasmas and Hemiptera pathogens
- Power Quality and Harmonics
- Aluminum Alloys Composites Properties
- Sustainable Supply Chain Management
- Economic and Technological Systems Analysis
- Machine Learning and ELM
Universiti Tenaga Nasional
2023-2024
Universiti Teknologi MARA
2021-2023
K.N.Toosi University of Technology
2023
Universiti Putra Malaysia
2018-2021
In this paper, a new optimal load shedding method using grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of islanded power system that comprises distributed energy resources (DER). The GOA used in conjunction with voltage margin (VSM) to handle multi-objective constraints, namely generation restrictions, allowable curtailment, and priority. To assess effectiveness offered method, comprehensive evaluation study applied IEEE 33-bus four DG units view different...
In this paper, an intelligent method for fault detection and classification a microgrid (MG) was proposed. The idea based on the combination of three computational tools: signal processing using maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by augmented Lagrangian particle swarm (ALPSO), machine learning support vector (SVM). MODWPT applied to preprocess half cycle post-fault current samples measured at both ends feeders. coefficients derived from were...
In fuel-cell-connected utility networks, electrical loads attached to the power network often generate reactive power, which hinders from normal functioning and reduces system factor. This condition results in wasted energy, increase demand for electricity, overload, higher costs customers. Besides, a system's poor factor is caused by large distorted element because of widespread use non-linear loads. Moreover, outages were brought on voltage dips resulting power. fuel cell-based network,...
Solar energy is considered one of the most important renewable resources, and can be used to power a stand-alone photovoltaic (SAPV) system for supplying electricity in remote area. However, inconstancy unpredictable amounts solar radiation are major obstacles designing SAPV systems. Therefore, an accurate sizing method necessary apply order find optimal configuration fulfil required load demand. In this study, novel hybrid approach was developed on basis techno-economic objectives optimally...
This paper presents a multi-objective particle swarm optimization (MOPSO) method for optimal sizing of the standalone photovoltaic (SAPV) systems. Loss load probability (LLP) analysis is considered to determine technical evaluation system. Life cycle cost (LCC) and levelized energy (LCE) are treated as economic criteria. The two variants proposed PSO method, referred adaptive weights ( A W P S O c f ) sigmoid function F , implemented using MATLAB software optimize number PV modules in...