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

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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.

Keywords: dispersed generation; distribution networks; genetic algorithm; tabu search

Document Type: Research Article


Affiliations: 1: Department of Electrical Engineering, Islamic Azad University, Branch Saveh, Saveh, Iran 2: Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

Publication date: 2005-12-01

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