I'm not completely sure what is going on, but I suspect it has to do with
non-convexities in the problem and the combination of algorithm and starting
point. I was able to solve the attached problem using the MINOPF solver, by
running a simple power flow first.
load testdata;
mpc = struct('baseMVA', baseMVA, 'bus', bus, 'branch', branch, 'gen', gen, ...
'areas', areas, 'gencost', gencost, 'A', Au, 'l', ll, 'u', ul);
mpc2 = runpf(mpc);
r = runopf(mpc2, mpoption(mpopt, 'OPF_ALG', 500))
--
Ray Zimmerman
Senior Research Associate
211 Warren Hall, Cornell University, Ithaca, NY 14853
phone: (607) 255-9645
On Mar 1, 2010, at 8:53 AM, Arturo Daniel Alarcón Rodríguez wrote:
Dear All,
I have formulated a generation capacity maximization problem, in which I want
to maximize the amount of generation that can be connected without violating
network constraints. To do this, I defined the cost of generation to be
negative (C=-Co*P), hence the minimization of total cost (negative), becomes
maximization of benefits (positive).
I have also created some additional linear constraints to keep the power factor
of the added generator constant.
It works in most cases, however, in some cases it gives me a warning message
and the optimal power flow doesn’t converge, even if I know there is a feasible
solution (the feasible solution is not to connect any generation, so all X=0).
I am not sure why this happens, I suspect it has something to do with the
network topology.
I attached one test case, with all the variables I have before running the OPF.
Any help to solve this problem will be greatly appreciated.
Regards
Arturo
------------------------------------------------------------------------------------
Dr. Arturo D. Alarcon-Rodriguez
Research Assistant
Institute for Energy and Environment
Department of Electronic and Electrical Engineering
University of Strathclyde
Royal College Building
204 George Street
Glasgow G1 1XW
Mobile: 07910 490 402
Email: [email protected]<mailto:[email protected]>
------------------------------------------------------------------------------------
<testdata.zip>
