Very good explanation Ray,

Should anyone be interested, You can use OPTI Matlab Software to benchmark 
several other methods (from within OPTI) to solve the problem via a common 
interface.

Regards.

José Luis de la Fuente



________________________________
De: [email protected] 
<[email protected]> en nombre de Ray Zimmerman 
<[email protected]>
Enviado: jueves, 3 de mayo de 2018 18:53
Para: MATPOWER discussion forum
Asunto: Re: Regarding Matpower's acopf solver

MATPOWER’s MIPS solver is a very basic vanilla primal-dual interior point 
method. On the other hand, fmincon provides a number of different algorithms, 
including a primal-dual interior point method, which is the one chosen by 
default in MATPOWER when selecting fmincon. I suspect that its implementation 
includes numerous “enhancements” to the very vanilla implementation used by 
MIPS. These may be helpful in some circumstances for a general nonlinear 
solver, but in my experience with solving OPFs do not often improve either 
performance or robustness over MIPS. I’m sure there are certain instances in 
which they do make a positive difference. The Ipopt and Knitro solvers are also 
based on interior point method, and as with fmincon, I’m sure they include 
enhancements to improve performance and robustness in general, which may or may 
not help in any given OPF problem.

I’m sorry I can’t give you the precise details of the differences because I do 
not have access to the details of the implementations of these other solvers.

    Ray


> On May 2, 2018, at 9:56 AM, Viswanath Hariharan <[email protected]> wrote:
>
> Hi
>
> I was wondering if anyone could explain the mathematical difference between 
> MATLAB's fmincon solver to solve ACOPF and MATPOWER's runopf function/mips to 
> solve the ACOPF problem. If both of them are going to find the local minima, 
> what is the mathematical difference between the both?
> Thank you.
>
> Regards
> Viswanath




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