Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kevin-Martin Aigner"'
Publikováno v:
INFORMS Journal on Computing. 35:458-474
We present a solution framework for general alternating current optimal power flow (AC OPF) problems that include discrete decisions. The latter occur, for instance, in the context of the curtailment of renewables or the switching of power-generation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf4d2c519032523841cae2c69f67882
https://doi.org/10.1287/ijoc.2023.1270
https://doi.org/10.1287/ijoc.2023.1270
Publikováno v:
European Journal of Operational Research. 301:318-333
We propose a mathematical optimization model and its solution for joint chance constrained DC Optimal Power Flow. In this application, it is particularly important that there is a high probability of transmission limits being satisfied, even in the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::070cfa30faa5e61e40c7492bc1394bfa
https://doi.org/10.1016/j.ejor.2021.10.051
https://doi.org/10.1016/j.ejor.2021.10.051
Autor:
Kevin-Martin Aigner, Andreas Bärmann, Kristin Braun, Frauke Liers, Sebastian Pokutta, Oskar Schneider, Kartikey Sharma, Sebastian Tschuppik
Publikováno v:
INFORMS Journal on Optimization.
Stochastic optimization (SO) is a classical approach for optimization under uncertainty that typically requires knowledge about the probability distribution of uncertain parameters. Because the latter is often unknown, distributionally robust optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e8214ee7459783724fc49f3b4dd7e9
https://doi.org/10.1287/ijoo.2023.0091
https://doi.org/10.1287/ijoo.2023.0091
Autor:
Kevin-Martin Aigner, Peter Schaumann, Freimut von Loeper, Alexander Martin, Volker Schmidt, Frauke Liers
Publikováno v:
Optimization and Engineering.
We present a robust approximation of joint chance constrained DC optimal power flow in combination with a model-based prediction of uncertain power supply via R-vine copulas. It is applied to optimize the discrete curtailment of solar feed-in in an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5de48913aa8408249b99609b64e713
https://doi.org/10.1007/s11081-022-09761-0
https://doi.org/10.1007/s11081-022-09761-0
Autor:
Jana Dienstbier, Kevin-Martin Aigner, Jan Rolfes, Wolfgang Peukert, Doris Segets, Lukas Pflug, Frauke Liers
Publikováno v:
Computers & Chemical Engineering. 157:107618
Knowledge-based determination of the best-possible experimental setups for nanoparticle design is highly challenging. Additionally, such processes are accompanied by noticeable uncertainties. Therefore, protection against those is needed. Robust opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cafaa643eb77e59f5a606e13610b5808
https://doi.org/10.1016/j.compchemeng.2021.107618
https://doi.org/10.1016/j.compchemeng.2021.107618