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?
