Thanks for your response. I have tried all the things in the FAQs. I am having
trouble executing the last one i.e running cpf while increasing load and
generation. I get following errors and warnings:
step 1 : lambda = NaN, corrector did not converge in 10 iterations
NaN's cannot be converted to logicals.
Error in printpf (line 175)
nzld = find((bus(:, PD) | bus(:, QD)) & bus(:, BUS_TYPE) ~= NONE);
Error in runcpf (line 392)
printpf(results, 1, mpopt);
Error in Wildpoldsried_Extraction (line 236)
results = runcpf(mpcbase, mpctarget);
Warnings:
Warning: Matrix is singular to working precision.
> In newtonpf at 89
In runcpf at 203
In Wildpoldsried_Extraction at 236
Warning: Matrix is singular to working precision.
> In cpf_predictor at 71
In runcpf at 249
In Wildpoldsried_Extraction at 236
Kindly let me know if you have any idea on how to address these issues.
Kind Regards,
Waqas
________________________________
From: [email protected]
[[email protected]] on behalf of Abhyankar, Shrirang
G. [[email protected]]
Sent: 08 August 2015 15:56
To: MATPOWER discussion forum
Subject: Re: PF Not converging
See Faq#5 Why does MATPOWER power flow not
converge?<http://www.pserc.cornell.edu//matpower/#pfconvergence>
Shri
From: <Syed>, Waqas Ahmad Raazi
<[email protected]<mailto:[email protected]>>
Reply-To: MATPOWER discussion forum
<[email protected]<mailto:[email protected]>>
Date: Saturday, August 8, 2015 at 5:03 AM
To: "[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Subject: PF Not converging
Hi,
I am trying to run a PF on a 154 bus system using Matpower and I am unable to
get it converged. What I have tried so far is:
1. Increasing all the loads
2. Removing all generators and using only slack bus
3. then changing slack bus
4. trying different algorithms.
Only in the algorithm of Newton Raphson I get a warning which says:
Warning: Matrix is singular to working precision.
> In newtonpf at 89
In runpf at 205
Kindly let me know, what should be my next course of action?
Kind Regards,
Waqas
