Title: Optimisation of CCPP speed control parameters using genetic algorithm

Authors: Magdy A.S. Aboelela, Abdelmonem M. Fetoh, Ahmed B. Gamal

Addresses: Department of Electrical Power and Machines, Faculty of Engineering, Cairo University, Egypt. ' Master of Science Student, Ministry of Electricity and Energy, Egypt. ' Department of Electrical Power and Machines, Faculty of Engineering, Cairo University, Egypt

Abstract: This paper is focused on using the conventional Proportional, Integral and Derivative (PID) controllers optimised using Genetic Algorithm (GA) to control the speed of a Combined Cycle Power Plant (CCPP). The system is simulated using MATLAB/Simulink and the PID controller is implemented as a box in the simulation where the parameters KP, KI and KD have been determined using the GA. Different types of the PID controller have been tried in order to obtain the required speed response which achieves certain transient and steady state behaviour.

Keywords: gas turbines; steam turbines; combined cycle power plants; power systems; modelling; CCPP speed control; PID controllers; genetic algorithms; simulation; optimisation.

DOI: 10.1504/IJRIS.2011.042262

International Journal of Reasoning-based Intelligent Systems, 2011 Vol.3 No.2, pp.94 - 99

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 02 Sep 2011 *

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