Control strategy of PV inverter under unbalanced grid voltage sag
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Year
: 2014DOI: 10.1109/IranianCIS.2014.6802571
Keyword(s): directed graphs,n genetic algorithms,n FSP,n acyclic graphs,n directed graph arcs,n feedback set problems,n genetic algorithm,n graph theory,n relational information visualization systems,n Algorithm design and analysis,n Approximation algorithms,n Approximation methods,n Genetic algorithms,n Graph theory,n Inference algorithms,n Labeling,n Genetic algorithm,n directed graph,n feedback arc set
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Control strategy of PV inverter under unbalanced grid voltage sag
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contributor author | Hao, Huang | |
contributor author | Yonghai, Xu | |
date accessioned | 2020-03-12T21:40:59Z | |
date available | 2020-03-12T21:40:59Z | |
date issued | 2014 | |
identifier other | 6953512.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1056844?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | Control strategy of PV inverter under unbalanced grid voltage sag | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8187979 | |
subject keywords | directed graphs | |
subject keywords | n genetic algorithms | |
subject keywords | n FSP | |
subject keywords | n acyclic graphs | |
subject keywords | n directed graph arcs | |
subject keywords | n feedback set problems | |
subject keywords | n genetic algorithm | |
subject keywords | n graph theory | |
subject keywords | n relational information visualization systems | |
subject keywords | n Algorithm design and analysis | |
subject keywords | n Approximation algorithms | |
subject keywords | n Approximation methods | |
subject keywords | n Genetic algorithms | |
subject keywords | n Graph theory | |
subject keywords | n Inference algorithms | |
subject keywords | n Labeling | |
subject keywords | n Genetic algorithm | |
subject keywords | n directed graph | |
subject keywords | n feedback arc set | |
identifier doi | 10.1109/IranianCIS.2014.6802571 | |
journal title | nergy Conversion Congress and Exposition (ECCE), 2014 IEEE | |
filesize | 2601588 | |
citations | 1 |