Distribution Network Reconfiguration Based on Load Forecasting

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Limin Huo and Jinliang Yin and Yao Yu and 
                 Liguo Zhang",
  title =        "Distribution Network Reconfiguration Based on Load
  booktitle =    "International Conference on Intelligent Computation
                 Technology and Automation, ICICTA 2008",
  year =         "2008",
  month =        oct,
  volume =       "1",
  pages =        "1039--1043",
  keywords =     "genetic algorithms, genetic programming, decision
                 making, distribution network reconfiguration, line loss
                 calculation data, load forecasting, partheno-genetic
                 programming algorithm, distribution networks, load
  DOI =          "doi:10.1109/ICICTA.2008.206",
  abstract =     "Line loss calculation data adopted in the previous
                 distribution network reconfiguration was historical
                 load data or real-time data. And that reduced the
                 realistic significance of distribution network
                 reconfiguration. A new method is presented. At first
                 forecast the load, then apply the load data forecasted
                 to the line loss calculation. By do so the decision can
                 be made in advance that if the distribution network
                 reconfiguration is needed at some time of the future.
                 Load forecasting adopted genetic programming algorithm
                 (GP). Distribution network reconfiguration adopted
                 partheno-genetic algorithm (PGA). And the
                 partheno-genetic algorithm was improved according to
                 the features of the distribution network
  notes =        "Also known as \cite{4659648}",

Genetic Programming entries for Yuan Hongbo Jinliang Yin Yao Yu Liguo Zhang