What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Algorithm
Algorithm, Mathematical optimization, Sizing, Electric power system and Sensitivity are his primary areas of study.
His studies deal with areas such as Photovoltaic system, Topology and Economic dispatch as well as Algorithm.
The various areas that Almoataz Y. Abdelaziz examines in his Mathematical optimization study include Network topology, Control reconfiguration, Control theory and Reduction.
Throughout his Sizing studies, Almoataz Y. Abdelaziz incorporates elements of other sciences such as Voltage, Capacitor and Convergence.
His biological study spans a wide range of topics, including Smart grid and Cost of electricity by source.
His Sensitivity study incorporates themes from Distributed generation and Renewable energy.
His most cited work include:
- Distribution system reconfiguration using a modified Tabu Search algorithm (161 citations)
- Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations (135 citations)
- Distribution Systems Reconfiguration using a modified particle swarm optimization algorithm (128 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Electric power system, Control theory, Mathematical optimization, Voltage and Algorithm.
The study incorporates disciplines such as Artificial neural network, Genetic algorithm, Electronic engineering and Wind power in addition to Electric power system.
His research in Control theory intersects with topics in Fault and AC power.
Almoataz Y. Abdelaziz has included themes like Distributed generation and Control reconfiguration in his Mathematical optimization study.
His research in Voltage focuses on subjects like Photovoltaic system, which are connected to Maximum power point tracking.
Cuckoo search is the focus of his Algorithm research.
He most often published in these fields:
- Electric power system (34.63%)
- Control theory (33.43%)
- Mathematical optimization (30.75%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (33.43%)
- Electric power system (34.63%)
- Voltage (22.69%)
In recent papers he was focusing on the following fields of study:
Almoataz Y. Abdelaziz mainly focuses on Control theory, Electric power system, Voltage, Renewable energy and Photovoltaic system.
His Control theory research is multidisciplinary, incorporating perspectives in Permanent magnet synchronous generator, Particle swarm optimization and Genetic algorithm.
His work carried out in the field of Electric power system brings together such families of science as Electricity generation, Algorithm, Reliability engineering and Doubly fed induction generator dfig.
His Voltage study integrates concerns from other disciplines, such as Fault, Electric power transmission and Robustness.
His Renewable energy research includes elements of Mathematical optimization and Energy storage.
His Mathematical optimization study frequently draws connections to adjacent fields such as Power loss.
Between 2019 and 2021, his most popular works were:
- Techno-economic assessment of energy storage systems using annualized life cycle cost of storage (LCCOS) and levelized cost of energy (LCOE) metrics (43 citations)
- Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm (25 citations)
- Robust Energy Management and Economic Analysis of Microgrids Considering Different Battery Characteristics (20 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Artificial intelligence
Almoataz Y. Abdelaziz mainly investigates Electric power system, Distributed generation, Photovoltaic system, Mathematical optimization and Control theory.
His Phasor study, which is part of a larger body of work in Electric power system, is frequently linked to Thermal, bridging the gap between disciplines.
His work in Distributed generation addresses subjects such as AC power, which are connected to disciplines such as Islanding, Cluster analysis and Reliability.
His Photovoltaic system research is multidisciplinary, incorporating elements of Diode, Fault detection and isolation, Maximum power point tracking, Voltage and Optimization algorithm.
His Mathematical optimization research is multidisciplinary, relying on both Control reconfiguration and Renewable energy.
His Control theory research includes themes of Permanent magnet synchronous generator, Variable speed wind turbine, Estimation theory and Fitness function.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
