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A genetic-based tabu search algorithm for optimal DG allocation in distribution networks

Gandomkar, M ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1080/15325000590964254
  3. Publisher: 2005
  4. Abstract:
  5. 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. Copyright © Taylor & Francis Inc
  6. Keywords:
  7. Circuit theory ; Electric power distribution ; Optimization ; Resource allocation ; Standby power systems ; Dispersed regeneration ; Distribution loss ; Tabu search ; Genetic algorithms
  8. Source: Electric Power Components and Systems ; Volume 33, Issue 12 , 2005 , Pages 1351-1362 ; 15325008 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/15325000590964254