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An interactive fuzzy multi-objective approach for short term DG planning

Jahromi, M. E ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. Publisher: 2012
  3. Abstract:
  4. This paper presents a short term multi-objective planning model for Distributed Generators (DGs) deployment in an electrical network. "Total Cost" and "Emission Cost" are two objective functions which have been going to be minimized in this model by finding the optimal schemes of sizing, placement and DG technologies over a short planning period (static planning). The proposed model can be used for a long term planning period (dynamic planning) in order to consider the timing concept. An interactive fuzzy satisfying method based on Chaotic Local Search and Modified Honey Bee Mating Optimization (CLS-MHBMO) is used to choose the final solution. The effectiveness of the proposed model and search method are assessed and demonstrated by various studies on an actual distribution network
  5. Keywords:
  6. Chaotic local search ; Distribution network ; Interactive fuzzy set ; Modified HBMO algorithm ; Short term DG planning ; Chaotic local searches ; DG technology ; Distributed generators ; Dynamic planning ; Electrical networks ; Emission costs ; Honey-bee mating optimization ; Interactive fuzzy satisfying method ; Long term planning ; Multi objective ; Multi objective optimizations (MOO) ; Multi-objective planning model ; Objective functions ; Optimal scheme ; Planning period ; Search method ; Short term ; Total costs ; Distributed power generation ; Electric power distribution ; Multiobjective optimization ; Fuzzy sets
  7. Source: International Journal of Innovative Computing, Information and Control ; Volume 8, Issue 6 , 2012 , Pages 4157-4175 ; 13494198 (ISSN)
  8. URL: http://www.ijicic.org/ijicic-11-02003.pdf