The answer to your question is No. The reason is that the power flow equations
are included as equality constraints in the OPF problem, which is formulated as
a nonlinear programming problem (NLP). When using a primal-dual interior point
solver for an NLP, the equality constraints are not typically satisfied at
every iteration, only at the solution. For more details on the formulation and
algorithm, see Section 3.4 in the MIPS User’s Manual
<http://www.pserc.cornell.edu/matpower/docs/MIPS-manual-1.2.2.pdf> or Appendix
A.4 in the MATPOWER User’s Manual
<http://www.pserc.cornell.edu/matpower/docs/MATPOWER-manual-6.0.pdf>.
Ray
> On Oct 30, 2017, at 5:35 AM, Sun Weigao <[email protected]> wrote:
>
> Dear Matpower users,
>
> I have a confusing problem when I am doing some research to improve the
> optimization of PF problem and OPF problem both.
>
> I solve the PF problem by Newton-Rapfson (NR) method, and OPF problem by
> Primal-dual Interior Point method (PDIPM). I want to figure out the
> relationship between the PF and OPF solving process.
>
> Do we need a complete PF solving process (using NR) during the OPF solving
> process (using PDIPM)? In other words, Does the solving process of the OPF
> problem (using PDIPM) contains many PF calculations? If Yes, in which step
> the PF is calculated ? and if No, why ?
>
> I've been puzzled by this problem for a long time, please help if you clear
> the answer.
> Thank you very much.
>
> Sincerely,
> Walter
>
