• DocumentCode
    1233623
  • Title

    Large-Scale Distribution Planning—Part I: Simultaneous Network and Transformer Optimization

  • Author

    Navarro, Alejandro ; Rudnick, Hugh

  • Author_Institution
    Electr. Eng. Dept., Pontificia Univ. Catolica de Chile, Santiago
  • Volume
    24
  • Issue
    2
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    744
  • Lastpage
    751
  • Abstract
    This paper is the first of two and presents a planning methodology for low-voltage distribution networks. Combined optimization of transformers and associated networks is performed, considering the street layout which connects the different consumers. In this first part, micro-optimization, the planning zone is divided into small zones, mini-zones, which are optimized independently. A repetitive procedure is used in order to locate transformers using clustering techniques. Optimum capacity, customers to be satisfied, the optimum network to be used and losses associated to this network are determined for each location. The methodology is applied over an area of 12.9 km2 with nearly 20 215 consumers. In the second paper, two macro-optimization methodologies are discussed based on the planning results for each mini-zone, one based on the Voronoi polygons in order to improve load grouping into mini-zones and the other based on the combination of neighboring networks into a single transformer by means of a Tabu search. Finally, the methodology is applied to a zone with a surface of 2118 km2 and approximately 1300 000 customers.
  • Keywords
    optimisation; power distribution planning; transformer substations; clustering techniques; large-scale distribution planning; low-voltage distribution networks; repetitive procedure; simultaneous network; transformer optimization; Cluster; low voltage; network planning; power distribution planning;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2016593
  • Filename
    4813186