Hi Jean, I am having difficulty in downloading the zip file, can you provide another link if possible?
Regards, Jubeyer On Thu, Jul 18, 2019 at 11:24 AM MAEGHT Jean <[email protected]> wrote: > Hello, > > This test case was published in this paper, were indications on how to > solve it with matpower are given. Looking into the zip file on arxiv web > site, you will also find some matlab code to run opfs, using Knitro. > > > > https://arxiv.org/abs/1603.01533 > > .tar.gz file : https://arxiv.org/e-print/1603.01533 > AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and > PEGASE > > Cédric Josz > <https://arxiv.org/search/math?searchtype=author&query=Josz%2C+C>, Stéphane > Fliscounakis > <https://arxiv.org/search/math?searchtype=author&query=Fliscounakis%2C+S>, > Jean Maeght > <https://arxiv.org/search/math?searchtype=author&query=Maeght%2C+J>, Patrick > Panciatici > <https://arxiv.org/search/math?searchtype=author&query=Panciatici%2C+P> > > *(Submitted on 4 Mar 2016 (**v1 <https://arxiv.org/abs/1603.01533v1>**), > last revised 30 Mar 2016 (this version, v3))* > > In this paper, we publish nine new test cases in MATPOWER format. Four > test cases are French very high-voltage grid generated by the offline > plateform of iTesla: part of the data was sampled. Four test cases are RTE > snapshots of the full French very high-voltage and high-voltage grid that > come from French SCADAs via the Convergence software. The ninth and largest > test case is a pan-European ficticious data set that stems from the PEGASE > project. It complements the four PEGASE test cases that we previously > published in MATPOWER version 5.1 in March 2015. We also provide a MATLAB > code to transform the data into standard mathematical optimization format. > Computational results confirming the validity of the data are presented in > this paper. > > > > > > Best regards, > > [image: logo] > > *Jean MAEGHT* > RTE – R&D Division > > PES - Direction de la R&D > T+33 658 248 320 > > *[email protected]* <[email protected]> > > > > > > > > > > *De :* [email protected] [mailto: > [email protected]] *De la part de* Aamir Nawaz > *Envoyé :* jeudi 18 juillet 2019 17:59 > *À :* [email protected] > *Objet :* case13659pegase > > > > Dear Researchers, > > > > I have tried to execute the following and error comes. Can anyone explain > why algorithm like PDIPM fails to solve this large system? However, i have > solved it using evolutionary algorithm and it is converged. Is there any > limit of number of dimensions for PDIPM or others? If no, then suggest me > how i can solve it or suggest any other algorithm like SDPOPF etc. I > waiting for your kind reply. > > > > runopf(case13659pegase) > > MATPOWER Version 6.0, 16-Dec-2016 -- AC Optimal Power Flow > PDIPMOPF Version 4.1, Build 18, 11-Nov-2011 > Copyright (c) 2007-2011 by Power System Engineering Research Center (PSERC) > > >>>>> Did NOT converge (4.42 seconds) <<<<< > > > -- > > > > *Regards, Aamir Nawaz**.* > > > "Ce message est destiné exclusivement aux personnes ou entités auxquelles > il est adressé et peut contenir des informations privilégiées ou > confidentielles. Si vous avez reçu ce document par erreur, merci de nous > l'indiquer par retour, de ne pas le transmettre et de procéder à sa > destruction. > > This message is solely intended for the use of the individual or entity to > which it is addressed and may contain information that is privileged or > confidential. If you have received this communication by error, please > notify us immediately by electronic mail, do not disclose it and delete the > original message." >
