World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
6661
World Ranking
3436
National Ranking
7

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Algorithm
  • Genetic algorithm

His primary areas of study are Electric power system, Algorithm, Control theory, Genetic algorithm and Sizing. In Electric power system, Ehab S. Ali works on issues like Capacitor, which are connected to Thyristor. Ehab S. Ali has researched Control theory in several fields, including Control engineering, Optimization problem and Particle swarm optimization.

His Optimization problem study incorporates themes from Metaheuristic, Robustness and Search algorithm. Ehab S. Ali combines subjects such as Time domain, PID controller and Automatic frequency control with his study of Genetic algorithm. His study in Sizing intersects with areas of studies such as Sensitivity, Photovoltaic system, Turbine and Distributed generation.

His most cited work include:

  • Bacteria foraging optimization algorithm based load frequency controller for interconnected power system (291 citations)
  • BFOA based design of PID controller for two area Load Frequency Control with nonlinearities (153 citations)
  • Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations (135 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Control theory, Electric power system, Algorithm, Control theory and Genetic algorithm. His Control theory study integrates concerns from other disciplines, such as Optimization problem and Particle swarm optimization. Within one scientific family, he focuses on topics pertaining to Capacitor under Electric power system, and may sometimes address concerns connected to Thyristor.

In his work, Heuristic is strongly intertwined with Stability, which is a subfield of Control theory. His study in Genetic algorithm is interdisciplinary in nature, drawing from both Automatic frequency control and Cuckoo search. Ehab S. Ali focuses mostly in the field of PID controller, narrowing it down to topics relating to Bat algorithm and, in certain cases, Search algorithm and Simulated annealing.

He most often published in these fields:

  • Control theory (79.37%)
  • Electric power system (58.73%)
  • Algorithm (46.03%)

What were the highlights of his more recent work (between 2018-2020)?

  • Whale (7.94%)
  • Operations research (6.35%)
  • Total cost (11.11%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Whale, Operations research, Total cost, Variable and Minification. Total cost combines with fields such as Control reconfiguration and Differential evolution in his work.

Between 2018 and 2020, his most popular works were:

  • Optimal network restructure via improved whale optimization approach (2 citations)
  • Optimal network restructure via improved whale optimization approach (2 citations)
  • Improved Whale Optimization Algorithm for Optimal Network Reconfiguration (0 citations)

Best Publications

  • Bacteria foraging optimization algorithm based load frequency controller for interconnected power system

    E.S. Ali;S.M. Abd-Elazim

  • Ant Lion Optimization Algorithm for optimal location and sizing of renewable distributed generations

    E.S. Ali;E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz

  • BFOA based design of PID controller for two area Load Frequency Control with nonlinearities

    E.S. Ali;S.M. Abd-Elazim

  • Ant Lion Optimization Algorithm for Renewable Distributed Generations

    E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz

  • Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm

    S. M. Abd-Elazim;E. S. Ali

  • Optimization of Power System Stabilizers using BAT search algorithm

    E.S. Ali

  • Cuckoo Search algorithm based load frequency controller design for nonlinear interconnected power system

    A.Y. Abdelaziz;E.S. Ali;E.S. Ali

  • Combined economic and emission dispatch solution using Flower Pollination Algorithm

    A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim

  • Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems

    A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim

  • Flower Pollination Algorithm and Loss Sensitivity Factors for optimal sizing and placement of capacitors in radial distribution systems

    A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim

  • Hybrid solar desalination systems driven by parabolic trough and parabolic dish CSP technologies: Technology categorization, thermodynamic performance and economical assessment

    Moustafa M. Aboelmaaref;Moustafa M. Aboelmaaref;Mohamed E. Zayed;Mohamed E. Zayed;Jun Zhao;Wenjia Li

  • Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index

    A.Y. Abdelaziz;E.S. Ali;S.M. Abd Elazim

  • Optimal Power System Stabilizers design via Cuckoo Search algorithm

    S.M. Abd Elazim;E.S. Ali

  • Load frequency controller design via BAT algorithm for nonlinear interconnected power system

    S.M. Abd-Elazim;E.S. Ali

  • Coordinated design of PSSs and SVC via bacteria foraging optimization algorithm in a multimachine power system

    E.S. Ali;S.M. Abd-Elazim

  • A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design

    S.M. Abd-Elazim;E.S. Ali

  • Improved Harmony Algorithm and Power Loss Index for optimal locations and sizing of capacitors in radial distribution systems

    E.S. Ali;S.M. Abd Elazim;A.Y. Abdelaziz

  • MPPT control design of PV system supplied SRM using BAT search algorithm

    A.S. Oshaba;E.S. Ali;S.M. Abd Elazim

  • Power System Stability Enhancement via Bacteria Foraging Optimization Algorithm

    Sahar M. Abd-Elazim;Ehab S. Ali

  • Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm

    E. S. Ali;E. S. Ali;S. M. Abd Elazim;A. Y. Abdelaziz

Frequent Co-Authors

Almoataz Y. Abdelaziz
Almoataz Y. Abdelaziz Ain Shams University

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