A5053080709- Photovoltaic System Optimization Techniques
- solar cell performance optimization
- Solar Radiation and Photovoltaics
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- Power Systems and Renewable Energy
- Silicon and Solar Cell Technologies
- Advanced Image and Video Retrieval Techniques
- Photovoltaic Systems and Sustainability
- Solar Thermal and Photovoltaic Systems
- Islanding Detection in Power Systems
- Integrated Circuits and Semiconductor Failure Analysis
- Hybrid Renewable Energy Systems
- Wind Turbine Control Systems
- Image Retrieval and Classification Techniques
- Smart Grid Energy Management
- IoT and Edge/Fog Computing
- Medical Image Segmentation Techniques
- Advanced Multi-Objective Optimization Algorithms
- Smart Grid Security and Resilience
- Advanced Computing and Algorithms
- Metaheuristic Optimization Algorithms Research
- Privacy-Preserving Technologies in Data
- Multilevel Inverters and Converters
- Blockchain Technology Applications and Security
Institut of Research in Solar Energy and New Energies
2022-2025
Ecole Mohammadia d'Ingénieurs
2021-2024
Mohammed V University
2021-2024
Al Akhawayn University
2021
Office Régional de Mise en Valeur Agricole de Ouarzazate
2021
Renewable Energy Systems (United Kingdom)
2021
The irradiation intensity is the primary catalyst for energy production in photovoltaic (PV) systems. Nevertheless, it alleviates partial shading (PS) by inhibiting power production, primarily habitable metropolitan areas, owing to surrounding objects or high soiling rates, particularly dry and semi-arid climates. Hence, PV module's location, orientation, tilt angle significantly affect its performance shorten durability. Thus, this study undertakes a benchmark analysis of two distinct panel...
Photovoltaic energy is increasingly becoming a widespread technology and viable alternative to fossil fuels for satisfying demands while mitigating pollution climate change. However, various issues significantly affect the power production of photovoltaic systems, including partial shading effects, mainly under basic interconnection schemes. Furthermore, P–V curve exhibits multiple maxima, complicating global maximum point identification. This investigation aims diminish severity shadowing...
Abstract Recent advances in imaging technologies have led to a significant increase the adoption of stereoscopic images. However, despite this proliferation, in-depth research into complex analysis visual content these images is still relatively rare. The advent has brought new dimension content. These offer higher level detail, making them increasingly common variety fields, including medicine and industrial applications. exploiting full potential requires deeper understanding. By...
In this paper, we propose an Aquila Optimizer (AO) algorithm specific to photovoltaic (PV) energy storage conversion system for the global maximum power point tracking (GMPPT) of a battery in partial shade conditions (PSC). Several simulation experiments were run Simulink 2021a environment evaluate performance suggested MPPT control. The results show highest accuracy, speed and stability AO under PSC. After being integrated on "Raspberry Pi 4 Model B" embedded board, software produced...
In recent times, both the academic and industrial sectors have developed a greater interest in artificial intelligence (AI) machine learning (ML). Conventional ML approaches usually need significant computational resources to attain intended level of precision, thereby restricting their feasibility high-capacity hardware including network nodes. A paradigm shift has occurred with emergence Tiny Machine Learning (TinyML), enabling tasks be run on Internet Things (IoT) severe limitations. The...
Partial shading (PS) considerably restricts photovoltaic (PV) systems, requiring extraction of the global maximum power point (GMPP). This persistent challenge engenders continuous fluctuations in (MPP) and demands utmost attention. In this regard, paper presents a novel hybrid scanning technique Perturb Observe (P&O) algorithm meticulously designed to accurately track PV array's GMPP encountering PS, non-uniform dust deposition, or any common failures. Furthermore, it serves as an efficient...
Pollution, depletion of fossil fuel sources, increasing energy demands.... various circumstances encourage the integration renewable energies, including solar systems, which require a smart and cost-effective solution. In this context, current investigation conducted comparative study between most frequently used MPPT approaches in industry, notably Enhanced (P&O, INC), Fuzzy Logic control, order to extract Maximum Power Point effectively. A buck-boost converter is applied research as an...
Nowadays, photovoltaic systems face numerous challenges, including the lack of effective monitoring and real-time fault diagnosis applications, particularly for large-scale facilities. Moreover, standard failure location process is complicated time-consuming. In this regard, following paper provides a localization technique that incorporates current sensor array with fewer detectors as compared to literature's approaches well flexibility switch among two topologies detection open circuits,...
A photovoltaic array's output characteristic is non-linear, and its behavior varies with solar radiation module temperature fluctuations. Therefore, a maximum power point tracking strategy needed to improve the energy delivered by systems. Due multiple peak occurrences on P-V curve, conventional techniques are restricted mismatch case. Consequently, this inquiry focused comparative assessment of four prevalent meta-heuristic methods for stochastic search paradigm, including particle swarm...