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Load flow convergence in a given number of iterations does not correlate with model instability. It is simple an indication of how far the initial network states (V and angles) are from producing a mismatch (in P and Q) within the tolerance specified in the tool. Model instability is tested with dynamic tools, mainly, a dynamic simulation.

Load flow convergence in a given number of iterations does not correlate with model instability. It is simple an indication of how far the initial network states (V and angles) are from producing a mismatch (in P and Q) within the tolerance specified in the tool. Model instability is tested with dynamic tools, mainly, a dynamic simulation.

When a dynamic simulation gives 'network not converged' errors, you can try the following: - review the (newest) models parameters for anomalies. Data entry errors. - lower delta t, integration stepsize. - check that bus voltages (V, angle) and Gens P & Q are within limits. - Start from a known dynamic set that 'flatstart', it gives var's flat lines to a no-disturbance test, and then sequentially add the new models and repeat the flastart until the problem is identified. - ....

Load flow convergence in a given number of iterations does not correlate with model instability. It is simple an indication of how far the initial network states (V and angles) are from producing a mismatch (in P and Q) within the tolerance specified in the tool. Model instability is tested with dynamic tools, mainly, a dynamic simulation.

When a dynamic simulation gives 'network not converged' errors, you can try the following: - following:

  • review the (newest) models parameters for anomalies. Data entry errors. - errors.

  • lower delta t, integration stepsize. - stepsize.

  • check that bus voltages (V, angle) and Gens P & Q are within limits. - limits in the base case. Check the 'SUSPECT CONDITIONS' entries after the STRT activity.

  • Start from a known dynamic set that 'flatstart', it gives var's flat lines to a no-disturbance test, and then sequentially add the new models and repeat the flastart until the problem is identified. - identified.

  • ....

Load flow convergence in a given number of iterations does not correlate with model instability. It is simple an indication of how far the initial network states (V and angles) are from producing a mismatch (in P and Q) within the tolerance specified in the tool. Model instability is tested with dynamic tools, mainly, a dynamic simulation.

When a dynamic simulation gives 'network not converged' errors, you can try the following:

  • review the (newest) models parameters for anomalies. Data entry errors.

  • lower delta t, integration stepsize.

  • check that bus voltages (V, angle) and Gens P & Q are within limits in the base case. Check the 'SUSPECT CONDITIONS' entries after the STRT activity.

  • Start from a known dynamic set that 'flatstart', it gives var's flat lines to a no-disturbance test, and then sequentially add the new models and repeat the flastart flatstart until the problem is identified.identified or no problem is found. Once all new models are added and you still get a flatstart, then you are ready for a full dynamic simulation. Post your findings.

  • ....