Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60800
Title: Hybrid constrained genetic algorithm/particle swarm optimisation load flow algorithm
Authors: Ting, TO
Wong, KP
Chung, CY 
Keywords: Capital budgeting
DCF techniques
Nonfinancial measures
Contingency theory
Issue Date: 2008
Publisher: Institution of Engineering and Technology
Source: IET generation, transmission & distribution, 2008, v. 2, no. 6, p. 800-812 How to cite?
Journal: IET generation, transmission & distribution 
Abstract: A hybrid constrained genetic algorithm and particle swarm optimisation (PSO) method for the evaluation of the load flow in heavy-loaded power systems is developed. The new algorithm is applied to find the maximum loading points of three IEEE test systems. The experimental determination of the best values of the parameters for use in the PSO part of the hybrid algorithm is also reported.
URI: http://hdl.handle.net/10397/60800
ISSN: 1751-8687
EISSN: 1751-8695
DOI: 10.1049/iet-gtd:20070224
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