A5039340760- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Power Systems and Renewable Energy
- Power Systems Fault Detection
- Advanced Control Systems Design
- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Magnetic Bearings and Levitation Dynamics
- Urban Heat Island Mitigation
- Microgrid Control and Optimization
- Innovative Energy Harvesting Technologies
- Energy Harvesting in Wireless Networks
- Vehicle License Plate Recognition
- Wireless Power Transfer Systems
- Sensorless Control of Electric Motors
- Optimal Power Flow Distribution
- Power Line Communications and Noise
- Impact of Light on Environment and Health
University of Mosul
2023-2024
University of Technology Malaysia
2019-2023
Malaysia University of Science and Technology
2022
Solar power is considered one of the most common renewable energy sources. However, effective harnessing maximum solar in photovoltaic (PV) systems faces a significant challenge due to weather fluctuations. This becomes particularly pronounced for PV aiming achieve optimal output during Maximum Power Point Tracking (MPPT), especially under partial shading conditions (PSCs). In P-V curve arrays, PSCs cause multiple peaks, known as local and global peak. The use sophisticated MPPT optimization...
The design of new efficient maximum power point tracking (MPPT) techniques has become extremely important due to the rapid expansion photovoltaic (PV) systems. Because under shading conditions characteristics PV devices multimodal having several peaks, traditional MPPT provide crappy performance. In turn, metaheuristic algorithms have massively employed as a typical substitute in tracking. this work, optimizer, which was named hyperbolic slime mould algorithm (HSMA), is designed be an...
Introduction. Brushless DC (BLDC) motor is a type of permanent magnet synchronous that operates without brushes employed in many applications owing to its efficiency and control electric cars. One the main reasons BLDC motors are better than brushed they employ an electronic commutation circuit instead mechanical one. The fractional order sliding mode controller (FOSMC) was used, which characterized by high durability not affected disturbances exposed during operation, as well overcoming...
Photovoltaic (PV) systems provide a reliable green energy solution by improving maximum power point tracking (MPPT) methods to achieve under various weather conditions. Among MPPT algorithms, the perturbation and observation (P&O) algorithm is widely used in PV due its simple implementation. However, has limitations terms of convergence speed, steady-state oscillation, drift problem during sudden irradiance variations. This paper proposes modified P&O for optimal different A new strategy...
Photovoltaics are exposed to partial shading conditions (PSCs). Bypass diodes installed across series-connected PV modules avoid the hotspot phenomena, which causes several peaks on power curve. While a new approach has been presented distinguish between uniform (USC <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</sub> ) and PSC reduce unnecessary search space area, it leads faster convergence speed (CS). This paper proposes an improved Rat...
Photovoltaic (PV) systems are subjected to varying irradiance conditions throughout the day and because of bypass diodes that connected in parallel with PV module prevent hotspot occurrences, leading several peaks on power curve during partial shading (PSCs). This article has proposed an improved snake optimizer algorithm track maximum fast accurate tracking. Moreover, a new strategy is differentiate between uniform (USCs) PSCs unnecessary searching entire USCs, fast-tracking. Furthermore,...
The conventional maximum power point tracking (MPPT) controllers are unable to track the global (GMPP) during partial shading conditions (PSCs). As a result, many optimization strategies have been used GMPP. Optimization approaches, on other hand, iterative methods that cannot distinguish uniform (USCs) from PSCs. In this article, new detection approach has hybridized with modified rat swarm (MRSO) algorithm. It successfully distinguishes USCs PSCs in two samples and triggers MRSO only when...
The presence of weather variations poses a significant challenge for photovoltaic (PV) systems in achieving maximum power during point tracking (MPPT), especially under partial shading conditions (PSCs). To prevent the hotspot phenomenon, bypass diodes are fitted across series-connected PV modules. As result, curve has multiple local peaks (LPs) and one global peak (GP). Conventional MPPTs tend to become entrapped these LPs, resulting substantial reduction both generated overall efficiency...
The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). proposed used protect the power transmission lines where they are subjected faults continuously. These may produce high electric current which leads damage in equipment. detect line by measuring voltage and values for each phase. impedance then calculated issue instantaneous trip signal circuit breaker, separate fault zone without affecting work other relays. To...
In this paper, the adaptive neuro-fuzzy inference system (ANFIS) for solar maximum power point tracking (MPPT) has been proposed quick and accurate at different weather conditions load variations with high efficiency. The irradiance sensor does not always give readings, plus use of will be cost-effective since PV module is influenced by irradiance. This paper ANFIS-based MPPT elimination sensor. addition to minimization data training, which leads less computation burden. To enhance response...
This study proposes an intelligent protection relay design that uses artificial neural networks to secure electrical parts in power infrastructure from different faults. Electrical transformer and transmission lines are protected using differential distance relay, respectively. Faults categorized, their locations pinpointed three-phase current values zero-current characteristics differentiate between non-earth ground The optimal aspects of the network were chosen for results with least...
The perturb and observe (P&O) algorithm is the most popular of numerous maximum power point tracking (MPPT) algorithms due to its simplicity ease implementation. However, method has limitations regarding convergence speed, steady-state oscillation, drift problem under sudden irradiance variations. This paper presents an improved P&O-MPPT enhance speed using adaptive duty cycle perturbation step fuzzy logic (FL-∆D) size. Moreover, a new strategy added stop oscillation once MPP tracked....
Multiple coils are used in inductive power transfer (IPT) systems to ensure the effectiveness of high-power applications. Furthermore, recent research indicates that dual receivers can function well dynamic wireless (WPT) However, system efficiency reduces if cross-coupling among same side is not eliminated. In this article, a new IPT with has similar characteristics as DD have been introduced. Besides mitigating mutual inductances same-side coils, proposed use fewer components than...
Abstract An energy audit was conducted on a university building located within the main campus of Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. Some physical parameters particularly consumption, air velocity, airflow, operating temperature, relative humidity and lighting intensity were compared to Malaysian Standards 1525:2014. This work aims at understanding comfort level occupants investigates impact changes overall consumption. Based data collected, team could estimate...
Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting maximum power of a PV system is one its major challenges. While conventional methods take time track accompanying fluctuation around power. Consequently, several metaheuristic algorithms have been presented overcome fluctuating On other hand optimization will search into entire curve extract This leads unnecessary points uniform shading which decrease convergence speed towards In overcoming...
The energy generation performance of solar panels can be greatly influenced by partial shading conditions (PSCs). phenomenon is ascribed to the presence several maximum power points (MPPs) evident on characteristic curves power-voltage (P-V). These MPPs encompass diverse local peaks (LPs) along with a solitary global peak (GP). Traditional (MPPT) techniques fall short in precisely tracing GP owing complex and nonlinear features PV during instances PSC. Hence, adoption MPPT based artificial...
Extraction of maximum power from the PV panels, especially during partial shadowing conditions (PSC), is one most pressing issues in operation a photovoltaic (PV) system. While conventional techniques are not able to capture global (GMPP). Consequently, several optimization algorithms track GMPP have been presented. However, methods unable distinguish uniform shading PSCs. This paper presents novel hybrid MPPT technique address this drawback. An ANFIS method proposed with new detection...