ABSTRACT
As a power system turns out to be all the more heavily loaded and more unpredictable, maintaining stability becomes a difficult issue. In this paper, we propose an optimal control procedure for power system adjustment utilizing a proportional-integral-derivative (PID) controller in a coordinated power system. In modern applications, the most generally utilized controller is the PID controller, which necessitates productive techniques to control the distinctive parameters of the plant. The proposed strategy uses the particle swarm optimization algorithm-based way to deal with producing the optimal tuning parameters. This paper investigates the execution of the power system and dynamic execution of the controller is compared with the conventional controller with approval of the adequacy of the proposed mixture controller. Experimental results demonstrate that the proposed system has upgraded the system stability of the power system all the more adequately existing systems.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Rekha Chaudhary
Rekha received her B.Sc. Engineering degree from BIT Sindri; M.Tech in power systems from NIT Jamshedpur in the year 2004; completed her PhD from Electrical Department, NIT, Jamshedpur in the year 2017. She has more than 12 years of teaching experience and is currently working in a private engineering college. She has got 8 international journal papers, presented paper in 4 international conferences. Her research area includes power system operation and control, linear system theory, non-linear system theory, controller design for nonlinear system.
Arun Kumar Singh
Arun Kumar Singh received Bachelor degree in electrical Engineering from Kurukshetra which is currently NIT, Kurukshetra, M.Tech from IIT BHU in the year 1985, and Ph.D from IIT Kharagpur in the year 1995. Currently he is working as Professor in Electrical Engg. Department, NIT, Jamshedpur and having teaching experience of more than 30 years. He has 12 journal papers to his credit. His research interests include intelligent systems, linear system theory, nonlinear control, H2- H infinity control technique, robust control and power system control. He has completed guiding 5 Ph.D thesis and other 3 are in progress.