Distribution Network Reconfiguration Based on Load Forecasting
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- @InProceedings{Huo:2008:ICICTA,
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author = "Limin Huo and Jinliang Yin and Yao Yu and
Liguo Zhang",
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title = "Distribution Network Reconfiguration Based on Load
Forecasting",
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booktitle = "International Conference on Intelligent Computation
Technology and Automation, ICICTA 2008",
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year = "2008",
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month = oct,
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volume = "1",
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pages = "1039--1043",
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keywords = "genetic algorithms, genetic programming, decision
making, distribution network reconfiguration, line loss
calculation data, load forecasting, partheno-genetic
programming algorithm, distribution networks, load
forecasting",
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DOI = "doi:10.1109/ICICTA.2008.206",
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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