Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods
%0 Journal Article
%1 contreras2021computing
%A Contreras, Daniel
%A Rudion, Krzysztof
%D 2021
%J IET Generation, Transmission & Distribution
%K Comparison Computing active and based distribution feasible flow methods networks: of operating optimal power random region sampling the validation
%N 10
%P 1600-1612
%R https://doi.org/10.1049/gtd2.12120
%T Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods
%V 15
@article{contreras2021computing,
added-at = {2021-09-06T12:52:11.000+0200},
author = {Contreras, Daniel and Rudion, Krzysztof},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b1ba24cde857c2c9b87dc1a2b27e5af2/annettegugel},
doi = {https://doi.org/10.1049/gtd2.12120},
interhash = {439428694ac9a3cfc81e556274e010f4},
intrahash = {b1ba24cde857c2c9b87dc1a2b27e5af2},
journal = {IET Generation, Transmission & Distribution},
keywords = {Comparison Computing active and based distribution feasible flow methods networks: of operating optimal power random region sampling the validation},
month = {5},
number = 10,
pages = {1600-1612},
timestamp = {2022-02-14T12:20:52.000+0100},
title = {Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods},
volume = 15,
year = 2021
}