What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Artificial intelligence
- Ecology
His primary areas of investigation include Mathematical optimization, Electric power system, Evolutionary algorithm, Differential evolution and PID controller.
His study in the field of Economic load dispatch and Economic dispatch also crosses realms of Nonlinear system, Fuel cost and Optimization algorithm.
His Evolutionary algorithm study frequently links to adjacent areas such as Opposition based learning.
He combines subjects such as Genetic algorithm, Particle swarm optimization and Crossover with his study of Differential evolution.
His Crossover research incorporates themes from Control theory and Harmony search.
He has included themes like Automatic frequency control and System dynamics in his PID controller study.
His most cited work include:
- Economic load dispatch using krill herd algorithm (134 citations)
- Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization (119 citations)
- Oppositional teaching learning based optimization approach for combined heat and power dispatch (110 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Electric power system, Mathematical optimization, Control theory, Automatic frequency control and PID controller.
Electric power system is closely attributed to Electricity generation in his study.
In the subject of general Mathematical optimization, his work in Evolutionary algorithm and Optimization algorithm is often linked to Power flow, thereby combining diverse domains of study.
His Optimization algorithm research is multidisciplinary, relying on both Whale and Algorithm.
His work on Control theory as part of general Control theory study is frequently linked to Automatic Generation Control, Diesel generator, Stabilizer and Differential search algorithm, bridging the gap between disciplines.
His Differential evolution research integrates issues from Genetic algorithm and Particle swarm optimization.
He most often published in these fields:
- Electric power system (47.30%)
- Mathematical optimization (43.24%)
- Control theory (33.78%)
What were the highlights of his more recent work (between 2019-2021)?
- Electric power system (47.30%)
- Mathematical optimization (43.24%)
- Renewable energy (16.22%)
In recent papers he was focusing on the following fields of study:
Provas Kumar Roy mostly deals with Electric power system, Mathematical optimization, Renewable energy, Control theory and Optimization algorithm.
As part of his studies on Electric power system, Provas Kumar Roy frequently links adjacent subjects like Capacitor.
His studies in Mathematical optimization integrate themes in fields like Fossil fuel and Chaotic.
His Renewable energy research is multidisciplinary, relying on both Wind power, Swarm intelligence and Moth flame optimization.
His work in the fields of Automatic frequency control, Control theory, PID controller and Optimal tuning overlaps with other areas such as Stabilizer.
His Optimization algorithm research is multidisciplinary, incorporating elements of Whale and Algorithm.
Between 2019 and 2021, his most popular works were:
- Grasshopper optimization algorithm scaled fractional order PI-D controller applied to reduced order model of load frequency control system (20 citations)
- Power flow based hydro-thermal-wind scheduling of hybrid power system using sine cosine algorithm (18 citations)
- Whale optimization algorithm applied to load frequency control of a mixed power system considering nonlinearities and PLL dynamics (10 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Ecology
- Algorithm
Provas Kumar Roy mainly investigates Control theory, Electric power system, Automatic frequency control, Control theory and Optimization algorithm.
His research links Differential evolution with Control theory.
His study brings together the fields of Hybrid power and Electric power system.
His Automatic frequency control study combines topics in areas such as Renewable energy, Reduction and Robustness.
His research integrates issues of Evolutionary algorithm and Backtracking search algorithm in his study of Robustness.
His work deals with themes such as Whale, Optimization problem, Chaotic and Nonlinear system, which intersect with Optimization algorithm.
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