Thank you Doctor for your responses. I've been testing the software with
different values of reserve. I am using the 24 RTS bus. There is a point
when I am increasing the minimum reserve in the system when I get this
error:
Error using intlinprog (line 142)
INTLINPROG encountered an internal error that caused the solution to lose
integer and/or linear constraint
feasibility. We are sorry for the inconvenience.
Please contact technical support for assistance with your problem, quoting
the code "-2_4".
Error in miqps_ot (line 281)
intlinprog(c, intcon, Ai, bi, Ae, be, xmin, xmax, ot_opt);
Error in miqps_matpower (line 220)
miqps_ot(H, c, A, l, u, xmin, xmax, x0, vtype, opt);
Error in most (line 2154)
mdo.QP.lambda ] = miqps_matpower( mdi.QP.H, mdi.QP.C, ...
Error in most_ex6_uc_DCFULL (line 117)
mdo = most(mdi, mpopt);
I've noticed that the lower bound compared to the Optimal objective value
is somewhat far from each other. I dont know what this error means.
Thank you as usual in advance,
Carlos
El mié., 13 mar. 2019 a las 19:42, Ray Zimmerman (<[email protected]>)
escribió:
> 1. For a deterministic case, you want to use the default values for
> contingency constraint parameters in the xGen data, since they are not
> relevant when there is a single state per period. Technically, in the
> implementation they are independent, so it is possible to include both, but
> the contingency constraints make no sense and have no impact on the
> deterministic case. See the footnote on p. 35 of the MOST User’s Manual
> <http://www.pserc.cornell.edu/matpower/docs/MOST-manual-1.0.1.pdf>.
>
> 2. Yes. See equations (7.2)–(7.5) in the MATPOWER User’s Manual
> <http://www.pserc.cornell.edu/matpower/docs/MATPOWER-manual-7.0b1.pdf> for
> the formulation.
>
> Ray
>
>
>
> On Mar 13, 2019, at 12:37 PM, Carlos Ferrandon Cervantes <
> [email protected]> wrote:
>
> Thank you Doctor for your response. I coded it that way just before
> calling most(mdi, mpopt) and it worked well and I've compared the
> results with fixed reserves and without. Now I have the following questions:
>
> 1. About the reserves, for a UC optimisation I had been using loadxgendata('
> ',mpc) but now after adding mdi.FixedReserves(t,1,1)= mpc.reserves I
> wonder which one has the priority in the problem. Does one deactivate the
> other? Or what is the action here from the program.
>
> 2. Also, does the zonal value of reserve mpc.reserves.req is the minimum
> reserve that all generators allocated to certain zone in mpc.reserves.zones
> have to meet for the system?
>
> Thank you so much in advance,
>
> Carlos Ferrandon
>
>
> El lun., 11 mar. 2019 a las 15:48, Ray Zimmerman (<[email protected]>)
> escribió:
>
>> Hi Carlos,
>>
>> Sorry the documentation for this isn’t better. For fixed zonal reserves,
>> MOST uses the basic structure used by MATPOWER and described in section
>> 7.6.1 of the MATPOWER User’s Manual
>> <http://www.pserc.cornell.edu/matpower/docs/MATPOWER-manual-7.0b1.pdf>.
>> You will need to essentially specify the mpc.reserves structure for each
>> period for MOST. After using loadmd() to create a MOST input data
>> structure mdi, simply assign the corresponding to mpc.reserves to
>> mdi.FixedReserves(t,
>> 1, 1) for each period t.
>>
>> Hope this helps,
>>
>> Ray
>>
>>
>> On Mar 10, 2019, at 11:57 AM, Carlos Ferrandon Cervantes <
>> [email protected]> wrote:
>>
>> Hello Doctor:
>>
>> I'm running a unit commitment (UC) simulation and I'm looking to set a
>> minimum variable value of MW of reserve for the whole system per each time
>> step (t) of the simulation. Assuming it is a 24hr simulation there could be
>> 24 different values of minimum MW of reserve connected to the system. Do
>> you have an idea how this can be performed in MOST?
>>
>> Thank you very much in advance
>>
>> Carlos Ferrandon
>>
>>
>>
>> --
>> Carlos Ferrandon
>>
>>
>>
>
> --
> Carlos Ferrandon
>
>
>
--
Carlos Ferrandon
