A Genetic-Based Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks

This article presents a new optimization algorithm based on integrating the use of genetic algorithms and tabu search methods to optimal allocation of dispersed generation resources in distribution networks. The proposed algorithm finds how much distribution losses can be reduced if dispersed genera...

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Bibliographic Details
Published in:Electric power components and systems 2005-12, Vol.33 (12), p.1351-1362
Main Authors: Gandomkar, M., Vakilian, M., Ehsan, M.
Format: Article
Language:English
Subjects:
dispersed generation
distribution networks
genetic algorithm
tabu search
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Summary:This article presents a new optimization algorithm based on integrating the use of genetic algorithms and tabu search methods to optimal allocation of dispersed generation resources in distribution networks. The proposed algorithm finds how much distribution losses can be reduced if dispersed generations are optimally allocated at the demand side of power system. A significant improvement of the proposed algorithm results, over that obtained by genetic algorithm, has been achieved. Numerical examples also showed the superiority of the proposed algorithm compared with the simple genetic algorithm.
ISSN:1532-5008
1532-5016
DOI:10.1080/15325000590964254