Distribution Network Reconfiguration Based on Load Forecasting

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Huo:2008:ICICTA,

• author = "Limin Huo and Jinliang Yin and Yao Yu and Liguo Zhang",
• title = "Distribution Network Reconfiguration Based on Load Forecasting",
• 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 forecasting",
• 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 reconfiguration.",
• notes = "Also known as \cite{4659648}",

}

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

Citations