It seems that the best way to convert the loads to dispatchable loads with
suitable “values”. See load2disp()
<http://www.pserc.cornell.edu/matpower/docs/ref/matpower6.0/load2disp.html> and
Section 6.4.2 of the User’s Manual
<http://www.pserc.cornell.edu/matpower/docs/MATPOWER-manual-6.0.pdf>. Using
identical costs for existing generators also makes sense.
Ray
> On Jul 9, 2017, at 1:04 PM, R Jain <[email protected]> wrote:
>
> Hello Everyone,
>
> I'm a new MATPOWER user, and am working on system reconfiguration. In
> process, the system needs to assess the new topology that will (can) be
> formed by connecting an offline section of the system to an online islanded
> (or grid connected) section of the system.
>
> Could be please help me with the following questions:
>
> Is there a way to remove the cost optimization function for OPF, and replace
> it with the objective of maximizing the load that can be supported. The loads
> (and corresponding priority factors) are known. I want to solve the problem
> as an ILP to identify which loads can be supported given the current state of
> generation, and load priority factors.
> Would you recommend a better way to do (1)?
> For now, I've made the costs on all the generators equal, to make the
> generation cost function irrelevant to the OPF result. In the mailing
> archive, I've seen 'using cost = 0' as a suggestion for folks trying to do
> load shedding. I don't see a difference in results for my case. But, would
> you recommend one over other?
> In OPF, I found the option to extend the objective functions. Is that all
> that is needed? Getting a grip on these functions is a work in progress, and
> your inputs shall be very helpful moving forward.
>
> Thank you for taking the time,
>
> Kind Regards,
> Rishabh Jain
> Doctoral Student,
> FREEDM Systems Center,
> NC State University, US.
> URL: www.linkedin.com/in/risjain
> <https://n1.nylas.com/link/12747bac43d1321c68acc358782a8401c5e095f6d636ef36ad6b3cd754a1524b/0?redirect=www.linkedin.com%2Fin%2Frisjain>
>
