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Hybrid GA neuro-fuzzy damping control system for UPFC

Khan, Laiq and Lo, K.L. and Jovanovic, S. (2006) Hybrid GA neuro-fuzzy damping control system for UPFC. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 25 (4). pp. 841-861. ISSN 0332-1649

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Abstract

The aim of the paper is to develop a novel genetic algorithm (GA)-based supplementary NeuroFuzzy damping control system for the unified power flow controller (UPFC). The designed scheme employs a micro-GA (µ-GA) to avoid being trapped in a local minimum as opposed to the use of the classical back-propagation technique. The scheme also uses the "Grand-Parenting" technique for seeding the initial population to hasten the GA convergence speed. To further speed up the GA for solving the optimization problem, a parallel µ-GA scheme is also used. It has been discovered that a parallel µ-GA scheme with three computers setup is approximately three times faster than the µ-GA with a single computer node. Also when µ-GA is integrated with the "Grand-Parenting" technique for seeding the initial population, it would hasten the convergence speed. The control scheme exhibits strong robustness and excellent damping performance when tested on a multi-machine power system.

Item type: Article
ID code: 3592
Keywords: electric power systems, fuzzy control, programming, algorithm theory, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Unknown Department
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 11 Jun 2007
    Last modified: 06 Dec 2013 17:30
    URI: http://strathprints.strath.ac.uk/id/eprint/3592

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