H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 45 Citations 7,813 175 World Ranking 1501 National Ranking 7

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Electric power system

His scientific interests lie mostly in Control theory, Electric power system, PID controller, Control theory and Automatic Generation Control. In his study, Heuristic is strongly linked to Genetic algorithm, which falls under the umbrella field of Control theory. Sidhartha Panda combines subjects such as Automatic frequency control, Firefly algorithm and Optimal control with his study of Electric power system.

The concepts of his PID controller study are interwoven with issues in Multi-objective optimization, Open-loop controller, Fuzzy logic and Nonlinear system. His Control theory study is concerned with Control engineering in general. His Automatic Generation Control study combines topics in areas such as Pattern search, Adaptive neuro fuzzy inference system and Robustness.

His most cited work include:

  • Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design (294 citations)
  • DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity (214 citations)
  • Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system (195 citations)

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

His primary areas of study are Control theory, Electric power system, Control theory, PID controller and Control engineering. His research integrates issues of Particle swarm optimization, Differential evolution and Automatic Generation Control in his study of Control theory. His Electric power system research includes elements of Pattern search, Genetic algorithm, Open-loop controller, Nonlinear system and Optimization problem.

His Control theory study also includes

  • Fuzzy logic which is related to area like Design objective,
  • Stability which is related to area like Transient. In his research, Overshoot is intimately related to Settling time, which falls under the overarching field of PID controller. His work carried out in the field of Control engineering brings together such families of science as Generator, Permanent magnet synchronous generator and Control system.

He most often published in these fields:

  • Control theory (91.00%)
  • Electric power system (61.00%)
  • Control theory (53.50%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (91.00%)
  • Automatic frequency control (22.50%)
  • Control theory (53.50%)

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

Sidhartha Panda mainly focuses on Control theory, Automatic frequency control, Control theory, PID controller and Electric power system. The Fuzzy pid controller research Sidhartha Panda does as part of his general Control theory study is frequently linked to other disciplines of science, such as Trigonometric functions, therefore creating a link between diverse domains of science. His Automatic frequency control research is multidisciplinary, incorporating elements of Filter, Electric vehicle, Hybrid power, Chaotic and Electric power.

He interconnects Particle swarm optimization, Energy storage, Filter and Benchmark in the investigation of issues within Control theory. The PID controller study which covers Genetic algorithm that intersects with Optimization problem. His Electric power system research is multidisciplinary, incorporating perspectives in Differential evolution and Optimisation algorithm.

Between 2019 and 2021, his most popular works were:

  • Approaching hybridized GWO-SCA based type-II fuzzy controller in AGC of diverse energy source multi area power system (17 citations)
  • A Modified Moth Swarm Algorithm-Based Hybrid Fuzzy PD–PI Controller for Frequency Regulation of Distributed Power Generation System with Electric Vehicle (11 citations)
  • Automatic generation control of power system in deregulated environment using hybrid TLBO and pattern search technique (9 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Electrical engineering
  • Physics

Control theory, Control theory, Microgrid, PID controller and Fuzzy logic are his primary areas of study. His Control theory research incorporates themes from Optimization algorithm and Electric power system, Automatic Generation Control. Control theory connects with themes related to Automatic frequency control in his study.

His work deals with themes such as Particle swarm optimization and Photovoltaic system, which intersect with Microgrid. His PID controller research includes themes of Swarm behaviour, Pattern search and Benchmark. He works mostly in the field of Fuzzy logic, limiting it down to topics relating to Electric vehicle and, in certain cases, Frequency regulation, as a part of the same area of interest.

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.

Best Publications

Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design

Sidhartha Panda;Narayana Prasad Padhy.
soft computing (2008)

444 Citations

Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system

Banaja Mohanty;Sidhartha Panda;P.K. Hota.
International Journal of Electrical Power & Energy Systems (2014)

293 Citations

DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity

Rabindra Kumar Sahu;Sidhartha Panda;Umesh Kumar Rout.
International Journal of Electrical Power & Energy Systems (2013)

284 Citations

Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system

Umesh Kumar Rout;Rabindra Kumar Sahu;Sidhartha Panda.
Ain Shams Engineering Journal (2013)

262 Citations

A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems

Rabindra Kumar Sahu;Sidhartha Panda;Saroj Padhan.
International Journal of Electrical Power & Energy Systems (2015)

245 Citations

Simulation study for automatic generation control of a multi-area power system by ANFIS approach

Swasti R. Khuntia;Sidhartha Panda.
soft computing (2012)

229 Citations

A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems

Rabindra Kumar Sahu;Sidhartha Panda;G.T. Chandra Sekhar.
International Journal of Electrical Power & Energy Systems (2015)

218 Citations

Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems

Sidhartha Panda;Banaja Mohanty;P. K. Hota.
soft computing (2013)

212 Citations

Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system

Binod Kumar Sahu;Swagat Pati;Pradeep Kumar Mohanty;Sidhartha Panda.
soft computing (2015)

195 Citations

Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization

Sidhartha Panda;Binod Kumar Sahu;Pradeep Kumar Mohanty.
Journal of The Franklin Institute-engineering and Applied Mathematics (2012)

176 Citations

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