I'm not sure I understand what you are changing between the feasible case and
the infeasible one. But if it is infeasible, then it will not solve
successfully, and any results (generation levels, line flows, etc.) are
meaningless.
Ray
On Oct 1, 2012, at 8:10 PM, Evangelos Galinas <[email protected]> wrote:
> Dear all,
>
> I have the following issue when I'm implementing an OPF I would like to ask
> if anyone has experienced ever something similar.
>
> Well, I want to check feasibility for constrained and unconstrained OPF's.
> When I have only the max limits of Gens on, the opf solves and the same
> happens when I have minimum limits on as well as when I include max flow
> limits for branches. All the above take plave by manipulating the
> mpc.gen(:,10)-> 0 or something close to and mpc.branch(i,6)-> 0 or 9999.
>
> The really weird thing happens when I include the regular min limits for
> conventional units but I limit the min P of my Wind gens to 0 or sth close
> to. Then the opf runs crazy and instead of solving even easier since I
> relaxed the constraints the system becomes infeasible. For the same Load
> conditions (4,4 G) while before the Generation was the same now, it increases
> to 5,3 G and all the branch loading go up to 300-400 %.
>
> Does anyone have a hint on why this can be happening. It sounds like an error
> from my side, but I can see in the results that the constraints are exactly
> as I had told matlab to do it.
>
> Any kind of help would be much appreciated.
>
> Best Regards,
>
> Vagelis
