| 1 | 1 | I analyzed the issue with @wbraun. The problem is the default nonlinear solver that solves the equations for iqPu, idPu, iQ1Pu, iQ2Pu, iDPu, etc. At each new time step, the solver makes a linear extrapolation of the previous solution to compute an initial guess for the iterations. For some reason, when the solution is close to steady-state, this extrapolation breaks badly, producing very large results (1e10 or more), which alter the scaling values of the solver, which in turn accepts whatever bad solution it finds because of the bogus scaling. |
