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Collective Intelligence for Optimal Power Flow Solution Using Ant Colony Optimization

Author(s): Boumediène ALLAOUA | Abdellah LAOUFI

Journal: Leonardo Electronic Journal of Practices and Technologies
ISSN 1583-1078

Volume: 7;
Issue: 13;
Start page: 88;
Date: 2008;
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Keywords: Collective Intelligence | Ant Colony Optimization | Optimal Power Flow | Power Systems | Metaheuristic | IEEE tests systems.

This paper presents the performance ant collective intelligence efficiency for electrical network. Solutions for Optimal Power Flow (OPF) problem of a power system deliberate via an ant colony optimization metaheuristic 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 IEEE 30-bus electrical network show that the ant colony optimization method converges quickly to the global optimum.
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