A5073173597- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Electric Power System Optimization
- Smart Grid Energy Management
- Photovoltaic System Optimization Techniques
- Power System Optimization and Stability
- Solar Radiation and Photovoltaics
- Solar Thermal and Photovoltaic Systems
- Energy Load and Power Forecasting
- Power System Reliability and Maintenance
- Frequency Control in Power Systems
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Power Systems and Renewable Energy
- HVDC Systems and Fault Protection
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Islanding Detection in Power Systems
- Integrated Energy Systems Optimization
- Evolutionary Algorithms and Applications
- Skin Protection and Aging
- Fuel Cells and Related Materials
- Advanced DC-DC Converters
- Advanced Wireless Communication Technologies
- Dermatology and Skin Diseases
Suez University
2019-2025
Bridge University
2023
Kafrelsheikh University
2020-2023
Aswan University
2023
Institute of Electrical Engineering
2023
Menoufia University
2020
New and Renewable Energy Authority
2013-2018
University of Alabama at Birmingham
2017-2018
Fayoum University
2016
One of the most significant barriers to broadening use solar energy is low conversion efficiency, which necessitates development novel techniques enhance equipment design. The correct modeling and estimation cell parameters are critical for control, design, simulation PV panels achieve optimal performance. Conventional optimization approaches have several limitations when solving this complicated issue, including a proclivity become caught in some local optima. In study, Growth Optimization...
Attaining highly secure and safe operation of the grid with acceptable voltage levels has become a difficult issue for electricity companies that must adopt remedial actions. The usage PV solar farm inverter as static synchronous compensator (or PVSTATCOM device) throughout night recently been proposed way to enhance system performance. In this article, novel artificial rabbits’ optimization algorithm (AROA) is developed minimizing both daily energy losses profile considering different 24 h...
A major problem in power systems is achieving a match between the load demand and generation demand, where security, dependability, quality are critical factors that need to be provided producers. This paper proposes proportional–integral–derivative (PID) controller optimally designed using novel artificial rabbits algorithm (ARA) for frequency control (LFC) multi-area (MAPSs) of two-area non-reheat thermal systems. The PID incorporates filter with such derivative coefficient reduce effects...
This work presents an optimal methodology based on augmented, improved, subtraction-average-based technique (ASABT) which is developed to minimize the energy-dissipated losses that occur during electrical power supply. It includes a way of collaborative learning utilizes most effective response with goal improving ability search. Two different scenarios are investigated. First, suggested ASABT used considering shunt capacitors only losses. Second, simultaneous placement and sizing both PV...
The Material Generation Optimization (MGO) algorithm is an innovative approach inspired by material chemistry which emulates the processes of chemical compound formation and stabilization to thoroughly explore refine parameter space. By simulating bonding processes—such as ionic covalent bonds—MGO generates new solution candidates evaluates their stability, guiding toward convergence on optimal values. To improve its search efficiency, this paper introduces Enhanced (IMGO) algorithm,...
This study proposes a multi-objective differential evolution algorithm (MO-DEA) based on forced initialisation to solve the optimal power flow (OPF) problem. The OPF problem is formulated as non-linear MO optimisation considered objective functions are fuel cost minimisation, losses voltage profile improvement, and stability enhancement. For solving MO-OPF, proposed approach combines new variant of DE (DE/best/1) with ɛ-constraint approach. combination guarantees high convergence speed good...
The accurate parameter extraction of photovoltaic (PV) module is pivotal for determining and optimizing the energy output PV systems into electric power networks. Consequently, a Photovoltaic Single-Diode Model (PVSDM), Double Diode (PVDDM), Triple- (PVTDM) demonstrated to consider losses. This article introduces new application Forensic-Based Investigation Algorithm (FBIA), which meta-heuristic optimization technique, accurately extract electrical parameters different models. FBIA inspired...
The extraction of parameters solar photovoltaic generating systems is a difficult problem because the complex nonlinear variables current-voltage and power-voltage. In this article, new implementation Gorilla Troops Optimization (GTO) technique for parameter several PV models created. GTO inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving other gorillas, direction defined site, following silverback, competition adult...
Abstract Background Studies have begun to investigate the complex relationship between host and microorganisms in non‐infectious pathologies such as acne, atopic dermatitis psoriasis. Though skin is exposed environmental stressors ultraviolet radiation ( UVR ), no studies exist examining effects of both UVA UVB on microbiome. Objective To test effect human Methods whether UV will alter cutaneous microbiome, participants were doses (22‐47 J/cm 2 ) or (100‐350 mJ /cm samples collected. DNA was...
Enhancing the distribution systems performance is an important target for system operators. This article proposes enhanced grey wolf algorithm (EGWA) allocating distributed generation units (DGUs) which coordinated with capacitor banks (CBs) and voltage regulators (VRs) to achieve target. Diversified tasks aim at minimizing investment expenses of equipment, maximizing benefits resulted from power losses reduction purchased grid. In technical direction, it investigated through ameliorating...
This paper proposes an improved marine predators’ optimization algorithm (IMPOA) for solving the combined heat and power (CHP) economic dispatch problem. problem provides optimal scheduling of generation supplies pursues to minimize overall fuel cost (OFC) supply cogeneration units considering their operational constraints. Four test systems are considered check performance both MPOA proposed IMPOA. The first system is small sized which involve 5-unit, whereas second medium contains 48-unit...
Power system operators and planners have progressively shown an interest in maximizing distribution automation technologies. The automated systems (ADS) provide the capability of efficient reliable control which require optimal operation strategy to status line switches also dispatch controllable devices. Therefore, this paper introduces robust technique based on Jellyfish Search Algorithm (JFSA) for Volt/VAr coordination ADSs joint reconfiguration (DSR), distributed generation units (DGs)...
A modified marine predators optimizer (MMPO) is proposed for simultaneous distribution network reconfiguration (DNR) associated with the allocation of distributed generators (DGs). In MMPO, predator’s strategies are merged to consider possibilities variation in environmental and climatic circumstances. The suggested MMPO contrasted standard (MPO) genetic, harmony search, fireworks, firefly improved sine–cosine optimizers. validated on single multiple objectives using 33- 69-bus systems at...
Recently, the use of diverse renewable energy resources has been intensively expanding due to their technical and environmental benefits. One important issues in modeling simulation is extraction unknown parameters photovoltaic models. In this regard, three models (PV) cells are extracted paper with a new optimization method called turbulent flow water-based (TFWO). The applications proposed TFWO algorithm for extracting optimal values various PV implemented on real data 55 mm diameter...
This article presents an improved heap-based optimizer (IHBO) for dealing with the optimal combination of power distribution system reconfiguration and distributed generators allocation in systems (PDSs). The suggested IHBO tries to improve on conventional HBO by integrating efficient exploitation mechanism increase exploring around leadership position, goal increasing its global search skills avoiding being trapped a local optimum. Three PDSs are studied, including IEEE PDS 33-bus two...