J
J.K. Satapathy
Researcher at National Institute of Technology, Rourkela
Publications - 31
Citations - 414
J.K. Satapathy is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Electric power system & Control theory. The author has an hindex of 10, co-authored 31 publications receiving 301 citations. Previous affiliations of J.K. Satapathy include University College of Engineering & Biju Patnaik University of Technology.
Papers
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Time delay approach for PSS and SSSC based coordinated controller design using hybrid PSO–GSA algorithm
TL;DR: In this article, a coordinated structure composed of a power system stabilizer and a static synchronous series compensator (SSSC)-based damping controller is proposed to improve the power system stability.
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A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller
TL;DR: A suitable tuning method for optimizing the damping controller parameters using a novel hybrid Genetic Algorithm–Gravitational Search Algorithm (hGA–GSA) and results show that the hybrid algorithm performs better than standard gravitational search algorithm and genetic algorithm on different benchmarks.
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Development of an Enhanced Ant Lion Optimization Algorithm and its Application in Antenna Array Synthesis
K. R. Subhashini,J.K. Satapathy +1 more
TL;DR: A novel Enhanced ant lion optimization algorithm is developed based on the basic ALO by introducing stochastic probability distribution function and the encouraging results obtained have emphatically placed the proposed e-ALO algorithm in the optimization arena as a dominant player.
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Pathfinder algorithm optimized fractional order tilt-integral-derivative (FOTID) controller for automatic generation control of multi-source power system
TL;DR: Sensitivity and robust analyses are done to demonstrate the effectiveness of the proposed PFA optimized FOTID controller to a wide variation in system parameters, at different step load and random load disturbances.
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Optimal location and parametric settings of FACTS devices based on JAYA blended moth flame optimization for transmission loss minimization in power systems
TL;DR: A novel hybrid algorithm that includes the superior properties of strong algorithms which have been developed in recent past is presented that is compared with existing technique like particle swarm optimization (PSO).