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Optimal Power Flow of the Algerian Electrical Network using an Ant Colony Optimization Method

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CONTRIBUTORS:
  Author Tarek BOUKTIR
  Author Linda SLIMANI
JOURNAL:
  Leonardo Journal of Sciences, 4(7), 43 - 57.
YEAR: 2005
PUB TYPE: Journal Article
SUBJECT(S): None
DISCIPLINE: Engineering and Applied Sciences
HTTP: http://ljs.academicdirect.org/A07/43_57.pdf
LANGUAGE: English
PUB ID: 103-435-664 (Last edited on 2007/06/29 09:34:48 GMT-6)
SPONSOR(S):
 
ABSTRACT:
This paper presents solution of optimal power flow (OPF) problem of a power system via an Ant Colony Optimization Meta-heuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the Algerian Electrical Network show that the Ant Colony Optimization method converges quickly to the global optimum.
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