The mathematical formulation of the OPF problem is specified as an optimization
problem, with optimization variables that need not be partitioned (for the sake
of the optimization) into control and state variables. This variables in
results.x include the full set of optimization variables. To be sure, when
using an OPF to “control” a system, it will be important to know which of the
optimization variables can be controlled directly, and which are state
variables whose values are implicitly determined by the control variable
settings. But this distinction is not necessary for MATPOWER to specify and
solve the OPF problem.
Hope this helps,
Ray
> On Oct 5, 2016, at 11:01 PM, Bai, Wenlei <[email protected]> wrote:
>
> Dear Ray,
> I noticed that when I 'results = runopf('case')', I am able to find the
> control variables by 'results.x';
> however, the control variables consist of all the bus angles, bus voltages,
> P output from generator buses(including slack bus), and reactive power Q from
> generator buses (including slack bus)
>
> To my understanding, isn't true that control variables should only include
> real power P from generator buses except slack bus, voltage of all generator
> buses and shunt capacitors and transformers if necessary?
>
> Blessings,
> Wenlei Bai
> Electrical Engineering, Department of Electrical & Computer Engineering
> Baylor University, One Bear Place #97356
> Waco, TX 76798-7356
> (254)405-3320
> [email protected] <mailto:[email protected]>
