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Ant colony search algorithm for optimal reactive power optimization

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Author(s): Lenin K. | Mohan M.R.

Journal: Serbian Journal of Electrical Engineering
ISSN 1451-4869

Volume: 3;
Issue: 1;
Start page: 77;
Date: 2006;
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Keywords: reactive power optimization | ant colony search algorithm | global optimization

ABSTRACT
The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents’ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called "Ants" co-operates to find good solution for Reactive Power Optimization problem. The ACSA is applied for optimal reactive power optimization is evaluated on standard IEEE, 30, 57, 191 (practical) test bus system. The proposed approach is tested and compared to genetic algorithm (GA), Adaptive Genetic Algorithm (AGA).
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