Hello,
You have to rename the donwloaded file : add manually .tar.gz extension to the 
downloaded file.
There is no other link.
Best regards
Jean

De : bounce-123757332-75398...@list.cornell.edu 
[mailto:bounce-123757332-75398...@list.cornell.edu] De la part de Jubeyer Rahman
Envoyé : jeudi 18 juillet 2019 20:06
À : MATPOWER discussion forum <matpowe...@list.cornell.edu>
Objet : Re: case13659pegase -> AC Power Flow Data in MATPOWER and QCQP Format: 
iTesla, RTE Snapshots, and PEGASE

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 
<jean.mae...@rte-france.com<mailto:jean.mae...@rte-france.com>> 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,
[logo]

Jean MAEGHT
RTE – R&D Division

PES - Direction de la R&D
T+33 658 248 320


jean.mae...@rte-france.com<mailto:jean.mae...@rte-france.com>





De : 
bounce-123756981-75398...@list.cornell.edu<mailto:bounce-123756981-75398...@list.cornell.edu>
 
[mailto:bounce-123756981-75398...@list.cornell.edu<mailto:bounce-123756981-75398...@list.cornell.edu>]
 De la part de Aamir Nawaz
Envoyé : jeudi 18 juillet 2019 17:59
À : matpower-l@cornell.edu<mailto:matpower-l@cornell.edu>
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.


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de ne pas le transmettre et de procéder à sa destruction.

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