Comparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning
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: 2014شناسه الکترونیک: 10.1109/TPWRS.2013.2287880
کلیدواژه(گان): 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 author | Foster, J.D. | |
contributor author | Berry, Adam M. | |
contributor author | Boland, Natashia | |
contributor author | Waterer, Hamish | |
date accessioned | 2020-03-12T18:31:45Z | |
date available | 2020-03-12T18:31:45Z | |
date issued | 2014 | |
identifier issn | 0885-8950 | |
identifier other | 6654301.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/961517 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Comparison of Mixed-Integer Programming and Genetic Algorithm Methods for Distributed Generation Planning | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7994325 | |
subject keywords | distributed power generation | |
subject keywords | distribution networks | |
subject keywords | electric generators | |
subject keywords | genetic algorithms | |
subject keywords | integer programming | |
subject keywords | load flow | |
subject keywords | power generation planning | |
subject keywords | AC power flow approach | |
subject keywords | MIP methods | |
subject keywords | distributed generation planning | |
subject keywords | distribution network | |
subject keywords | genetic algorithm | |
subject keywords | integer generator placement variable | |
subject keywords | linear DC power flow approximation | |
subject keywords | mixed-integer programming | |
subject keywords | nonlinear DC power flow approximation | |
subject keywords | Distributed power generation | |
subject keywords | Generators | |
subject keywords | Genetic algorithms | |
subject keywords | Optimization | |
subject keywords | Planning | |
subject keywords | Programmin | |
identifier doi | 10.1109/TPWRS.2013.2287880 | |
journal title | Power Systems, IEEE Transactions on | |
journal volume | 29 | |
journal issue | 2 | |
filesize | 1818695 | |
citations | 0 |