- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Electric Power System Optimization
- Smart Grid Energy Management
- Power System Optimization and Stability
- Power Systems Fault Detection
- Islanding Detection in Power Systems
- Machine Fault Diagnosis Techniques
- HVDC Systems and Fault Protection
- Inertial Sensor and Navigation
- Antenna Design and Analysis
- Indoor and Outdoor Localization Technologies
- Power System Reliability and Maintenance
- Fault Detection and Control Systems
- Maritime Navigation and Safety
- Target Tracking and Data Fusion in Sensor Networks
- Integrated Energy Systems Optimization
- Radio Frequency Integrated Circuit Design
- Wireless Communication Networks Research
- Image and Signal Denoising Methods
- Smart Grid Security and Resilience
- GaN-based semiconductor devices and materials
- Antenna Design and Optimization
- Power Transformer Diagnostics and Insulation
- Electric Motor Design and Analysis
Suez Canal University
2015-2024
Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and DSTATCOM is a crucial task due to stochastic variations PV output power load demand which are related solar irradiance activities customers, respectively. In this article, optimal problem PV-DG system solved. The proposed model considers uncertainties for multi-objective function, including cost reduction, voltage profile, stability index improvement. Modified Ant Lion Optimizer (MALO) enhance basic ALO...
Distributed generations (DGs) have been utilized in some electric power networks. Power loss reductions, voltage improvement, increasing reliability, postponement of system upgrading and environmental friendliness are advantages DG-unit applications. This paper presents a new optimization approach that employs flower pollination algorithm (FPA) to determine the optimal DG-unit's size location order minimize total real improve buses voltage. The FPA is metaheuristic technique it inspired by...
This paper proposes a new approach for rapid detection of islanding events in microgrid (MG). The proposed is two-step procedure which the first step to extract some valuable features from voltage and current signals. Such signals are analyzed finding second harmonic by discrete Fourier transform (DFT). Then, symmetrical components this calculated current, resulting six features; positive, negative zero sequence components. In step, novel deep learning classifier based on long short-term...
In the last decade, integration of distributed generators (DGs) in radial distribution systems has reached high penetration levels. Impacts DGs on active power loss and system voltage profile become significant. Optimization algorithms are tools which used to optimally find site size within specific limits constraints. This paper presents an optimization algorithm that employs modified flower pollination (MFPA) determine optimal allocation order minimize losses. MFPA is a new metaheuristic...
This paper addresses the allocation of a hybrid system that includes PV-DG and DSTATCOM. The planning problem considers variations load demand solar irradiance under deterministic probabilistic conditions. An efficient optimization algorithm called MPA is implemented to assign optimal placement ratings considered objective function multi-objective annual cost reduction, improvement voltage profiles, stability improvement. assessment accomplished with inclusion single two-hybrid on large...
The growth of wind energy penetration level in distribution system raises the concern about its impact on operation power system, especially voltage stability and loss. Among major concerns, this paper studied connecting Turbine (WT) radial with different levels factor (lead lag) loss reduction. Load flow calculation was carried out using forward-backward sweep method. analysis proceeds 9- 33-bus systems. Results show that enhancement reduction should be considered as WT installation objective.
The Optimal Unified Power Flow Controller (OUPFC) is an efficient series-shunt controller that incorporated to system control the power flow through transmission lines.Modeling of such a challenge task due required complex modifications Newton Raphson (NR) consider parameters OUPFC.The aim this paper includes (1) presenting novel model OUPFC into NR flow, (2) avoiding complicities modeling solution, (3) multi-control modes established active and reactive powers concurrently or separately...
Installing distributed generators (DGs) to the distribution networks has strongly effects on selectivity of conventional protection system. Miscoordination, improper operation, or blinding overcurrent relays would be expected according DGs penetration, location and type. In this paper, an analytical fault study simple radial network is carried out test system impacts connecting with different penetration levels at locations are also tested. MATLAB/Simulink package used model simulate case...
In the electrical power system, detection of quality disturbances (PQDs) is a critical mission. this paper, two-step methodology used to solve PQDs detection; features extraction and classification. The step uses wavelet time scattering classification long short-term memory (LSTM) techniques. To assess efficacy proposed approach, various simple PQ such as sag, swell, harmonics, interruption, well complicated events sag with harmonics swell are produced using MATLAB programming framework. A...
Unit Commitment (UC) is a complex engineering problem. The UC solution used by engineers and researchers to plan out power system operations. In planning phase, it decided which generating units would work when they work, at each station under different generational, environmental, technical constraints. This paper presents two novel bio-inspired optimization algorithms called Rat Swarm Optimizer (RSO) Seagull algorithm (SOA) for solving the challenging unit commitment problem on parameters...
Increasing the short-circuit current magnitude and bidirectional flow in a multi-infeed DG-connected grid have significant impacts on protection systems based over-current relays (OCRs). An adaptive scheme defining optimal setting of directional OCR (DOCR) has recently been introduced as solution for mis-coordination false tripping issues associated with DG penetration increase. In this paper, approach is highlighted, its performance different operating modes evaluated. Genetic algorithm...
Unmanned vehicle navigation using various combination of sensors in different fields, civilian or military, has always known to be a challenging and nontrivial task. Bayesian filter algorithms are usually being used for combining optimally processing measurements provided by such sensors, considering the available knowledge as uncertainty measurements. Since performance any system mainly depends on efficiency chosen algorithm associated with utilized sensors' quality, choice suitable...
Classification and detection of power quality disturbances (PQDs) are high priorities within the electrical system. We using feature extraction with artificial intelligence (AI) deep learning to solve PQD problems a two-step methodology: Feature classification steps, step utilizing Stockwell Transform employing Long Short-Term Memory techniques. This work aims use as Deep Learning (DL) approach known LSTM for PQ disturbance occurrences.Signal characteristics collected from time-frequency...
Unit Commitment is a optimization problem utilized in power system operation planning. The primary objective of unit commitment (UC) achieve an optimal plan the generators for predicted demand and spinning reserve. Salp Swarm Algorithm (SSA), metaheuristic algorithm, inspired by swarming behavior salps ocean. In this paper, algorithm used to solve thermal based on IEEE 30 Bus system's parameters. SSA improve initial randomness help effective convergence towards optimum. To verify...
Design and performance evaluation of an axial flux switching