Optimization of supply source allocation in the problem of rational configuration of electricity supply system

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@InProceedings{vezhentseva:2012:ISGTe,
  author =       "O. V. Svezhentseva and N. I. Voropai",
  booktitle =    "3rd IEEE PES International Conference and Exhibition
                 on Innovative Smart Grid Technologies (ISGT Europe,
                 2012)",
  title =        "Optimization of supply source allocation in the
                 problem of rational configuration of electricity supply
                 system",
  year =         "2012",
  address =      "Berlin",
  size =         "7 pages",
  abstract =     "The paper considers the problem of expansion planning
                 of complex distributed electricity supply systems as a
                 hierarchy of problems. At the first stage the problems
                 of choosing a rational configuration of the electricity
                 supply system are solved. A method is suggested to
                 optimise placement of supply sources and assignment of
                 consumers to them, which is one of the main problems to
                 be solved at the first stage. The method is based on
                 the genetic programming algorithms. A case study
                 applied to test the developed algorithms is presented.
                 The obtained results are discussed and the problems of
                 further research are formulated.",
  keywords =     "genetic algorithms, genetic programming, power
                 distribution planning, complex distributed electricity
                 supply system, consumer assignment, electricity supply
                 system, expansion planning problem, genetic programming
                 algorithm, rational configuration, supply source
                 allocation optimisation, supply source placement
                 optimisation, Biological cells, Electricity, Linear
                 programming, Resource management, Sociology,
                 Statistics, Electricity supply systems, configuration,
                 optimisation, placement of supply sources",
  DOI =          "doi:10.1109/ISGTEurope.2012.6465714",
  ISSN =         "2165-4816",
  notes =        "Also known as \cite{6465714}",
}

Genetic Programming entries for O V Svezhentseva Nikolay I Voropai

Citations