Title: Load frequency control of multi-area interconnected thermal power system: artificial intelligence-based approach

Authors: Kaliannan Jagatheesan; Baskaran Anand; Nilanjan Dey; Amira S. Ashour; Valentina E. Balas

Addresses: Department of Electrical and Electronics Engineering, Mahendra Institute of Engineering and Technology, Namakkal, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India ' Department of Information Technology, Techno India College of Technology, West Bengal, India ' Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt ' Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

Abstract: In the current work, an ant colony optimisation (ACO) optimisation technique for load frequency control was proposed for tuning the performance of the proportional-integral-derivative (PID) controller gain values. This led to oscillations suppression in the power system response. A system consisted of three equal thermal generating units equipped with (PID) controller was investigated. The PID controller gain values are obtained by using three different cost functions such as the integral square error (ISE), integral time absolute error (ITAE) and integral absolute error (IAE). Time domain specifications of the settling time and overshoot were considered in the system response analysis.

Keywords: artificial intelligence; cost function; load frequency control; LFC; optimisation; proportional-integral-derivative controller; time domain specification.

DOI: 10.1504/IJAAC.2018.088599

International Journal of Automation and Control, 2018 Vol.12 No.1, pp.126 - 152

Received: 31 Mar 2016
Accepted: 07 May 2016

Published online: 12 Dec 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article