No need to change code. Simply set the 'pf.radial.max_it' option to a value larger than the default 20.
Ray > On Jul 3, 2017, at 4:03 PM, Andrey Vieira <[email protected]> wrote: > > > Mr. Ray, thanks for the answer! > But in addition to the runpf () function, in what other functions should > I make the change in the number of iterations? > > > > > De: [email protected] > <[email protected]> em nome de Ray Zimmerman > <[email protected]> > Enviado: segunda-feira, 3 de julho de 2017 19:56 > Para: MATPOWER discussion forum > Assunto: Re: Non-Convergence of Load Flow in Reconfiguration / Restoration > Situations (via Optimization) > > If you haven’t tried it, certainly try increasing the number of iterations > for the radial methods. > > Ray > >> On Jul 3, 2017, at 3:15 PM, Andrey Vieira <[email protected] >> <mailto:[email protected]>> wrote: >> >> for Reconfiguration/Restoration process, ie: >> >> Occurrence of significant concentration of buses/Loads in a given healthy >> region (region that will receive some or all of the disconnected Loads) >> Of the feeder (as shown below) via the relocation of disconnected loads >> (optimization process) due to the insulation of some faulty upstream faults >> Of the off region. >> >> Exemplifying Illustration: >> >> I took the 33bw case as an example in three different load flow execution >> scenarios to exemplify my issue. >> SITUATION A: >> The case 33wb is illustrated below for a specific type of topology. >> For this configuration, there was convergence for the >> 4 methods (Newton, PQSUM, ISUM and YSUM) evaluated. >> >> <pastedImage.png> >> >> >> >> >> >> Situation B: >> Similarly, the case 33wb is illustrated below for another specific type >> of topology. For this new configuration, similar to the previous one, >> there was convergence for the 4 methods (Newton, PQSUM, ISUM >> and YSUM) evaluated. >> <pastedImage.png> >> >> >> >> >> >> >> >> >> Situation C: >> For this new configuration, the 33wb case, shown below, presents a >> particular type of topology in which it has concentrated much load >> on the central feeder. The consequence of this was the non-convergence >> of all 4 methods (Newton, PQSUM, ISUM and YSUM) evaluated. >> <pastedImage.png> >> >> Note: This analysis was also performed for other feeders (case 84, >> case 85, case 135 and case70). It seems to me that in the act of network >> switching (each switching sequence is a possible solution), by >> concentrating Loads in a given region of the network, the possibility of >> non-convergence is high, regardless of the method used. I would like to >> know how to proceed with this problem. For the evolutionary algorithm >> I use needs to evaluate this configuration, even Knowing that such a >> solution is not feasible and possibly will be ruled out by the restriction >> criteria of the optimization that I have adopted. What to do? Increase the >> number of iterations? How to make convergence of power flow occur even for >> those absurd configurations? >
