Shri, first of all, thanks for your help in answering questions and offering assistance to other MATPOWER users. It is really appreciated.
Just a comment on the results being “garbage” in this case. With MATPOWER, this warning usually arises in the computation of the Newton update step in the MIPS interior point solver, meaning that the update step computed may be “garbage”. Typically, this results in non-convergence and success = 0. However, if these warnings arise on the way to a converged solution with success = 1, the OPF results should be correct. In this case, it just means that even though some of the update steps were “garbage” they still led “toward” a local minimum which was eventually found. -- Ray Zimmerman Senior Research Associate B30 Warren Hall, Cornell University, Ithaca, NY 14853 phone: (607) 255-9645 On Jan 21, 2014, at 11:10 AM, Abhyankar, Shrirang G. <[email protected]> wrote: > Those messages are generated by MATLAB. You can turn them off by using the > warning command. But I doubt if you want to suppress these warnings. Matlab's > warning 'Matrix is singular to working precision' indicates the linear > solver's (backslash operator) failure and as such the results obtained will > be garbage. > > Shri > > From: Abouzar Estebsari <[email protected]> > Reply-To: MATPOWER discussion forum <[email protected]> > Date: Tue, 21 Jan 2014 15:06:53 +0100 > To: <[email protected]> > Subject: How to block displaying OPF messages > > Dear Matpower community > > I would like to block all the messages which are being poped out during > running OPF on a case study. I could comment the logs which display the > results but if my case cannot get converge, I see some messages regarding the > mathematics solvers saying the matrix is singular for instance or etc. I > would like not to see anything displayed. > > Thanks a lot in advance > > Bests, > > -- > Abouzar Estebsari > Doctoral Researcher > <image001.jpg> > Dipartimento Energia > Corso Duca degli Abruzzi, 24 > 10129 Torino – Italy > tel. +39 011 090 7117 > fax +39 011 090 7199 >
