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Sidhartha Panda

Researcher at Veer Surendra Sai University of Technology

Publications -  235
Citations -  9093

Sidhartha Panda is an academic researcher from Veer Surendra Sai University of Technology. The author has contributed to research in topics: Control theory & PID controller. The author has an hindex of 45, co-authored 207 publications receiving 7001 citations. Previous affiliations of Sidhartha Panda include Indian Institute of Technology Roorkee & National Institute of Standards and Technology.

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Journal Article

Comparison of Particle Swarm Optimization and Genetic Algorithm for TCSC-based Controller Design

TL;DR: The application and performance comparison of PSO and GA optimization techniques, for flexible ac transmission system (FACTS)-based controller design is presented to show the effectiveness of both the techniques in designing a FACTS-based controller, to enhance power system stability.
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Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design

TL;DR: In this article, the authors presented the application and performance comparison of particle swarm optimization (PSO) and genetic algorithms (GA) for flexible ac transmission system (FACTS)-based controller design.
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Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system

TL;DR: In this article, the authors presented controller parameters tuning of differential evolution (DE) algorithm and its application to Load Frequency Control (LFC) of a multi-source power system having different sources of power generation like thermal, hydro and gas power plants.
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DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity

TL;DR: In this article, a two area thermal system with governor dead-band nonlinearity is considered for the design and analysis purpose and differential evolution (DE) algorithm based on parallel 2-Degree Freedom of Proportional-Integral-Derivative (2-DOF PID) controller for Load Frequency Control (LFC) of interconnected power system is presented.
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Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems

TL;DR: The effectiveness of the hBFOA-PSO algorithm has been tested for automatic generation control (AGC) of an interconnected power system and the superiority of the proposed approach is shown by comparing the results of craziness based particle swarm optimization (CRAZYPSO) approach.