Title: Application of particle swarm optimisation in load frequency control of interconnected thermal-hydro power systems
Authors: Ashok Mohan Jadhav; K. Vadirajacharya; Elijah Tintius Toppo
Addresses: Department of Electrical Engineering, Vidya Pratishthan's College of Engineering, Baramati, Dist. Pune – 413 133, MAH, India ' Department of Electrical Engineering, Dr. B.A. Technological University, Lonere, Dist. Raigad – 402 103, Maharashtra, India ' Department of Electrical Engineering, Dr. B.A. Technological University, Lonere, Dist. Raigad – 402 103, Maharashtra, India
Abstract: This paper presents a solution to the LFC problem based on PSO and genetic algorithm (GA). The controller is constructed for a two-area interconnected thermal-hydro power system. The dynamic model of the power system and the controller design based on the model are elaborated in this paper. Exhaustive simulations are carried out using MATLAB/Simulink platform in order to verify the performance of PID controller in LFC problem under various dynamic conditions. Simulation results proved that PSO tuned controller is attractive to the LFC problem in its stability and robustness.
Keywords: load frequency control; LFC; PID control; particle swarm optimisation; PSO; genetic algorithms; GAs; integral squared error; ISE; integral time absolute error; ITAE; thermal-hydro power systems; controller design; modelling; simulation.
International Journal of Swarm Intelligence, 2013 Vol.1 No.1, pp.91 - 113
Available online: 09 Aug 2013Full-text access for editors Access for subscribers Purchase this article Comment on this article