Optimisation of CCPP speed control parameters using genetic algorithm
by Magdy A.S. Aboelela, Abdelmonem M. Fetoh, Ahmed B. Gamal
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 3, No. 2, 2011

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.

Online publication date: Fri, 02-Sep-2011

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com