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Comparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning

Author:
Foster, J.D.
,
Berry, Adam M.
,
Boland, Natashia
,
Waterer, Hamish
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TPWRS.2013.2287880
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/961517
Keyword(s): distributed power generation,distribution networks,electric generators,genetic algorithms,integer programming,load flow,power generation planning,AC power flow approach,MIP methods,distributed generation planning,distribution network,genetic algorithm,integer generator placement variable,linear DC power flow approximation,mixed-integer programming,nonlinear DC power flow approximation,Distributed power generation,Generators,Genetic algorithms,Optimization,Planning,Programmin
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    Comparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning

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contributor authorFoster, J.D.
contributor authorBerry, Adam M.
contributor authorBoland, Natashia
contributor authorWaterer, Hamish
date accessioned2020-03-12T18:31:45Z
date available2020-03-12T18:31:45Z
date issued2014
identifier issn0885-8950
identifier other6654301.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/961517?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleComparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning
typeJournal Paper
contenttypeMetadata Only
identifier padid7994325
subject keywordsdistributed power generation
subject keywordsdistribution networks
subject keywordselectric generators
subject keywordsgenetic algorithms
subject keywordsinteger programming
subject keywordsload flow
subject keywordspower generation planning
subject keywordsAC power flow approach
subject keywordsMIP methods
subject keywordsdistributed generation planning
subject keywordsdistribution network
subject keywordsgenetic algorithm
subject keywordsinteger generator placement variable
subject keywordslinear DC power flow approximation
subject keywordsmixed-integer programming
subject keywordsnonlinear DC power flow approximation
subject keywordsDistributed power generation
subject keywordsGenerators
subject keywordsGenetic algorithms
subject keywordsOptimization
subject keywordsPlanning
subject keywordsProgrammin
identifier doi10.1109/TPWRS.2013.2287880
journal titlePower Systems, IEEE Transactions on
journal volume29
journal issue2
filesize1818695
citations0
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