Thank you Shri, the comments were helpful.
Ahmad On Fri, Apr 12, 2019 at 4:28 PM Abhyankar, Shrirang G < [email protected]> wrote: > Ahmad, > > Can you be more specific with your question. How big of a system are > you planning to solve? Do you need to perform the CPF run within some > stipulated time? > > > > CPF basically solves a series of power flow solutions given some transfer > direction. Roughly, its computational complexity equals the number of power > flow solutions (CPF steps) + an additional overhead for computing the > tangent vector. There are a couple of things one can do to run the CPF > faster: > > > > i) Increase the step-size (mpopt.cpf.step): A larger > step-size would result in fewer CPF steps and in turn fewer power flow > solutions. However, increasing the step-size also means that the CPF may > need to do additional iterations at each step. > > ii) Use step adaptivity (mpopt.cpf.adapt_step): The CPF > will adaptively change the step-size when this option is turned ON. It will > take larger steps on the flat portion of the PV curve and small steps for > larger curvatures. One can limit the max. and min. step with the options > mpopt.cpf.step_max and mpopt.cpf.step_min. > > > > Shri > > > > > > *From: *<[email protected]> on behalf of Ahmad > Sadiq Abubakar <[email protected]> > *Reply-To: *MATPOWER discussion forum <[email protected]> > *Date: *Friday, April 12, 2019 at 12:44 AM > *To: *MATPOWER discussion forum <[email protected]> > *Subject: *CPU time > > > > Hi all, > > > > What do you think will be the effect of CPF run of a real power systems > with large number of buses on CPU time? > > > > I mean MATPOWER's continuation power flow (CPF) > > > > Kind regards > > Ahmad. >
