Hi;
I am not sure that I completely follow your second question. With
regards to the first one, we really have just the ones that are
distributed with MATPOWER, plus some others that we use in research and
which may contain propietary data.
Your second question... if the solvers find a solution, by definition
it must be feasible... is your question rather "how do I know if there
is a feasible solution?" There is no simple answer; sometimes relaxing
the restrictions of a problem allows the solvers to converge and by
tightening the restrictions back slowly you may get information about
which constraints are the ones that cannot be met. But in general,
answering the question of feasibility is not easy.
There is a little function in the MINOPF distribution that is used to
precondition a case to provide a better starting point for MINOPF; it is
called sqppf and it tries to minimize the sum of squares of opf
constraint violations; it prints info about which constraints register
the highest violations at every step; it will try to give you back a
power flow solution that is OPF-feasible, so MINOPF can start from there
to get to the optimal solution.
Carlos.
iman wrote:
Dear all,
Firstly,Is there any repository for Matpower cases, so I can download
them?
Secondly,how feasibility of optimal solution of cases could be checked?
Thanks for your help in advanced.
Iman
