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A combination of genetic algorithm and simulated annealing 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: 10.1109/CCECE.2005.1557013
  3. Publisher: 2005
  4. Abstract:
  5. This paper presents a new algorithm based on integrating the use of genetic algorithms and simulated annealing methods to optimal allocation of distributed generation resources in distribution networks. Through this algorithm a significant improvement in the optimization goal is achieved. With a numerical example the superiority of the proposed algorithm is demonstrated in comparison with the simple genetic algorithm. © 2005 IEEE
  6. Keywords:
  7. Electric power distribution ; Numerical methods ; Optimization ; Simulated annealing ; Distributed generation ; Distributed generation resources ; Optimal allocation ; Genetic algorithms
  8. Source: Canadian Conference on Electrical and Computer Engineering 2005, Saskatoon, SK, 1 May 2005 through 4 May 2005 ; Volume 2005 , 2005 , Pages 645-648 ; 08407789 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/1557013?arnumber=1557013