A5075386163- Power System Optimization and Stability
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Power Systems Fault Detection
- Islanding Detection in Power Systems
- Smart Grid Energy Management
- HVDC Systems and Fault Protection
- Power System Reliability and Maintenance
- Hybrid Renewable Energy Systems
- Frequency Control in Power Systems
- Energy and Environment Impacts
- Energy Load and Power Forecasting
- Power Quality and Harmonics
- Power Transformer Diagnostics and Insulation
- Wind Turbine Control Systems
- Advanced Battery Technologies Research
- Electric Power System Optimization
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Machine Fault Diagnosis Techniques
- Electric Vehicles and Infrastructure
- Machine Learning and ELM
- High-Voltage Power Transmission Systems
- Integrated Energy Systems Optimization
King Fahd University of Petroleum and Minerals
2016-2025
International Islamic University Chittagong
2012-2024
Bangladesh University of Engineering and Technology
2011-2022
Saudi Aramco (Saudi Arabia)
2019-2022
Renewable Energy Systems (United States)
2022
ORCID
2018
Uppsala University
2016
University of Nebraska at Omaha
2010
A significant growth in solar photovoltaic (PV) installation has observed during the last decade standalone and grid-connected power generation systems. The PV system a non-linear output characteristic because of weather intermittency, which tends to have substantial effect on overall output. Hence, optimize system, different maximum point tracking (MPPT) techniques been used. But, confusion lies while selecting an appropriate MPPT, as every method its own merits demerits. Therefore, proper...
Drones, also known as unmanned aerial vehicles (UAVs), have gained numerous applications due to their low cost, ease of use, vertical takeover and landing, ability operate in high-risk or hard-to-reach areas. The contribution this review is that building the bridge between drone technology its application advancements field Geographic Information System (GIS). integration drones GIS valuable it reduces costs improves accessibility for geospatial data collection. Traditional methods involving...
Accurate fault detection and localization play a pivotal role in the reliable optimal operation of electric power distribution networks. However, integration intermittent distributed generation (DG) brings distinctive challenges to traditional diagnosis schemes, requiring more robust approaches. This paper proposes an intelligent hierarchical framework for approach grids integrated with DG. The employs deep convolutional neural networks (CNN), removing need hectic signal processing tools...
Detection and classification of any anomaly at its commencement are very crucial for optimal management assets in power system grids. This paper presents a novel hybrid approach that combines S-transform (ST) feedforward neural network (FFNN) the detection distribution grid faults. In this proposed strategy, measured three-phase current signals processed through ST with view to extracting useful statistical features. The extracted features then fetched FFNN order detect classify different...
Precise knowledge of faults is very exigent to reduce the outage duration as most customer minute losses in distribution grids occur due longer period interruptions caused by faults. This study proposes a fault location technique combining advanced signal processing and machine learning tools for grids. The proposed decomposes three‐phase currents measured from sending end employing wavelet transform (WT) collects useful features fetch them inputs extreme (ELM). Satisfactory values selected...
Precise charging time prediction can effectively mitigate the inconvenience to drivers induced by inevitable behavior throughout trips. Although effectiveness of machine learning (ML) algorithm in predicting future outcomes has been established a variety applications (transportation sector), investigation into electric vehicle (EV) is almost new. This calls for ML predict EV time. The study developed an model based on two years event data collected from 500 EVs Japan. To time, this paper...
The grid integration of microgrids and the selection energy management systems (EMS) based on robustness efficiency in terms generation, storage, distribution are becoming more challenging with rising electrical power demand. problems regarding exploring renewable resources efficient durable storage demand side sustainable solutions to microgrid development maintain system’s stability security. This article mainly focuses overview recent developments EMS within control strategies...
The increase in renewable energy resources penetration into microgrids weakens the inertia of and negatively affects their frequency stability. This reduction reduces microgrid's ability to handle disturbances increases instability risk. purpose this paper is present a virtual (VI) control strategy for an island microgrid with use storage system (ESS) improve stability system. VI controller parameters are optimized using differential evolution (DE) algorithm. proposed can effectively reduce...
Significant growth in solar photovoltaic (PV) installation has been observed during the last decade standalone and grid-connected power generation systems. However, PV system a non-linear output characteristic because of weather intermittency, which tends to substantial loss overall output. Thus, optimize system, maximum point tracking (MPPT) techniques are used track global (GMPP) extract from under different conditions with better precision. Since MPPT is an essential part date, many...