A5017595369- Microgrid Control and Optimization
- Photovoltaic System Optimization Techniques
- Smart Grid Energy Management
- Solar Radiation and Photovoltaics
- Power Quality and Harmonics
- Multilevel Inverters and Converters
- Hybrid Renewable Energy Systems
- Magnetic Properties and Applications
- Solar Thermal and Photovoltaic Systems
- Power Systems and Renewable Energy
- Optimal Power Flow Distribution
- Advanced Battery Technologies Research
- Energy Load and Power Forecasting
- Electric Power System Optimization
- solar cell performance optimization
- Electric Motor Design and Analysis
- Sensorless Control of Electric Motors
- Fuel Cells and Related Materials
- Adaptive Control of Nonlinear Systems
- Wind Turbine Control Systems
- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Robotic Mechanisms and Dynamics
- Power Systems Fault Detection
- Neural Networks Stability and Synchronization
University of Ha'il
2016-2025
University of Kairouan
2015-2024
National Engineering School of Tunis
2012-2024
Tunis El Manar University
2023-2024
Tunis University
2015-2023
Time Université
2018-2021
Higher Institute of Food Industries of Tunis
2013
Intelligent Energy (United Kingdom)
2013
Analogic (United States)
2013
Higher School of Applied Sciences
2010
Increasing electrical energy consumption during peak hours leads to increased losses and the spread of environmental pollution. For this reason, demand-side management programs have been introduced reduce hours. This study proposes an efficient optimization in Smart Urban Buildings (SUBs) based on Improved Sine Cosine Algorithm (ISCA) that uses load-shifting technique for as a way improve patterns SUBs. The proposed system's goal is optimize SUBs appliances order effectively regulate load...
Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there an uncertainty present in the modeling PV modules owing to varying irradiance and temperature. To solve such uncertainty, fuzzy logic control-based intelligent maximum power point tracking (MPPT) method observed be more suitable as compared with conventional algorithms systems. In this paper, isolated system using push pull converter logic-based MPPT algorithm presented. The...
With the increasing demand for electrical energy and challenges related to its production, along with need be environmentally friendly achieve sustainability future generations, proton exchange membrane fuel cells (PEMFCs) are emerging as a clean source that can effectively replace conventional sources, in various fields of application especially field transportation exploiting electric vehicles (EVs). To improve development control PEMFCs, precise determination mathematical model remains an...
The electrical demand and generation in power systems is currently the biggest source of uncertainty for an electricity provider. For a dependable financially advantageous system, response (DR) success as result household appliance energy management has attracted significant attention. Due to fluctuating rates usage trends, determining best schedule apartment appliances can be difficult. As this context, Improved Cockroach Swarm Optimization Algorithm (ICSOA) combined with Innovative...
Distributed renewable energy systems are now widely installed in many buildings, transforming the buildings into 'electricity prosumers'. Additionally, managing shared usage and trade smart continues to be a significant difficulty. The main goal of solving such problems is flatten aggregate power consumption-generation curve increase local direct trading among participants as much possible. This study provides coordinated building energy-sharing concept for neighborhood integrated with...
Accurate parameter estimation is crucial and challenging for the design modeling of PV cells/modules. However, high degree non-linearity typical I–V characteristic further complicates this task. Consequently, significant research interest has been generated in recent years. Currently, trend marked by a noteworthy acceleration, mainly due to rise swarm intelligence rapid progress computer technology. This paper proposes developed Mountain Gazelle Optimizer (MGO) generate best values unknown...
A significant part of agricultural farms in the Kingdom Saudi Arabia (KSA) are off-grid sites where there is a lack sufficient water supply despite its availability from groundwater resources several regions country. Since abundant production mainly dependent on water, farmers forced to pump using diesel generators. This investigation deals with increase effectiveness solar photovoltaic pumping system (SPVWPS). It investigated, distinct perspective, nonlinear behavior modules that affects...
In recent years, researchers have focused on improving the efficiency of photovoltaic systems, as they an extremely low compared to fossil fuels. An obvious issue associated with systems (PVS) is interruption power generation caused by changes in solar radiation and temperature. As a means energy performance such system, it necessary predict meteorological conditions that affect PV modules. part proposed research, artificial neural networks (ANNs) will be used for purpose predicting system’s...
ABSTRACT In this paper, we introduce a new family of tenth‐order hybrid Numerov‐type methods designed for solving second‐order initial value problems (IVPs) with enhanced accuracy and efficiency. Our proposed build on the foundation existing high‐order techniques incorporate advanced strategies step size adaptation error control. We provide comprehensive analysis theoretical underpinnings these validate their performance through extensive numerical experiments.
This paper suggests a new sizing optimization method of an off-grid renewable energy system. To perform accurate analysis the distribution exchanged with all storage elements, discrete Fourier transform tool has been used. Besides, different frequency strains have achieved in accordance dynamic each device. Thus, problem formulation targets minimization Total Cost Electricity (TCE) for purposes improving reliability, and increasing performance exploitation energies electrification...