K. Jagatheesan
Paavai Engineering College
24 Papers
65 Citations
K. Jagatheesan is an academic researcher from Paavai Engineering College. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 9, co-authored 18 publications.
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Papers
Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm
K. Jagatheesan,Bulusu Anand,Sourav Samanta,Nilanjan Dey,Amira S. Ashour,Valentina Emilia Balas +5 more
TL;DR: The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms, while, it attained good results with respect to the peak overshoot / undershoot and the increased number of iterations which outperformed the other optimization algorithms based controller.
188
Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity
K. Jagatheesan,Bulusu Anand,Sourav Samanta,Nilanjan Dey,V. Santhi,Amira S. Ashour,Valentina Emilia Balas +6 more
TL;DR: This work presents an application of bio-inspired flower pollination algorithm (FPA) for tuning proportional–integral–derivative (PID) controller in load frequency control (LFC) of multi-area interconnected power system and established that FPA-PID controller exhibit better performance compared to performances of GA-Pid and PSO-P ID controller-based power system with and without nonlinearity effect.
117
A Design of PI Controller using Stochastic Particle Swarm Optimization in Load Frequency Control of Thermal Power Systems
K. Jagatheesan,Bulusu Anand,Nillanjan Dey,Tarek Gaber,Aboul Ella Hassanien,Tai-hoon Kim +5 more
- 01 Sep 2015
TL;DR: In this paper, a Proportional-Integral (PI) controller was designed and proposed for Load Frequency Control (LFC) of a single area reheat thermal power system.
35
Ant Colony Optimization Based Load Frequency Control of Multi-area Interconnected Thermal Power System with Governor Dead-Band Nonlinearity
Gia Nhu Nguyen,K. Jagatheesan,Amira S. Ashour,Bulusu Anand,Nilanjan Dey +4 more
- 01 Jan 2018
TL;DR: A comparative study for the ACO performance to the Craziness based Particle swarm optimization (CPSO) is studied to examine the proposed approach performance in the interconnecting thermal power system.
33
Artificial Intelligence in Performance Analysis of Load Frequency Control in Thermal-Wind-Hydro Power Systems
TL;DR: The results proved that the proposed optimization technique based the ACO-PID controller provides a superior control performance compared to the PI controller.