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ATC enhancement using TCSC via artificial intelligent techniques

Rashidinejad, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1016/j.epsr.2006.12.005
  3. Publisher: 2008
  4. Abstract:
  5. Procurement of optimum available transfer capability (ATC) in the restructured electricity industry is a crucial challenge with regards to open access to transmission network. This paper presents an approach to determine the optimum location and optimum capacity of TCSC in order to improve ATC as well as voltage profile. Real genetic algorithm (RGA) associated with analytical hierarchy process (AHP) and fuzzy sets are implemented as a hybrid heuristic technique in this paper to optimize such a complicated problem. The effectiveness of the proposed methodology is examined through different case studies. © 2007 Elsevier B.V. All rights reserved
  6. Keywords:
  7. Electric power transmission networks ; Electric utilities ; Fuzzy sets ; Genetic algorithms ; Heuristic methods ; Hierarchical systems ; Optimization ; Analytical hierarchy process (AHP) ; Available transfer capability (ATC) ; Electricity markets ; Artificial intelligence
  8. Source: Electric Power Systems Research ; Volume 78, Issue 1 , 2008 , Pages 11-20 ; 03787796 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0378779606002926