A dynamic fuzzy interactive approach for DG expansion planning

Esmi Jahromi, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2012.06.017
  3. Publisher: 2012
  4. Abstract:
  5. This paper presents a dynamic multi objective model for distribution network expansion, considering the distributed generators (DGs) and network reinforcements. The proposed model simultaneously optimizes three objective functions namely, total cost, emission cost and technical satisfaction (voltage profile) by finding the optimal schemes of timing, sizing, placement and DG technologies in a long term planning period (dynamic planning). The importance of each objective function can be changed in the interactive steps. The calculation algorithm is based on Chaotic Local Search with Modified Honey Bee Mating Optimization (CLSMHBMO). The effectiveness of the proposed model and the calculation method are demonstrated through different studies and comparative analysis on an actual distribution network
  6. Keywords:
  7. Chaotic Local Search ; Distribution network ; Dynamic planning ; Fuzzy interactive model ; Modified HBMO algorithm ; Multi objective optimization ; Chaotic local searches ; Comparative analysis ; DG technology ; Distributed generators ; Emission costs ; Expansion planning ; Honey-bee mating optimization ; Interactive approach ; Interactive models ; Long term planning ; Multi objective optimizations (MOO) ; Multiobjective models ; Network reinforcements ; Objective functions ; Optimal scheme ; Total costs ; Voltage profile ; Algorithms ; Distributed power generation ; Electric power distribution ; Optimization
  8. Source: International Journal of Electrical Power and Energy Systems ; Volume 43, Issue 1 , 2012 , Pages 1094-1105 ; 01420615 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0142061512002797