Revision history [back]
 | 1 | initial version |
The CIM5 load model is discussed in the PSSe "Models.pdf" manual, pg. 9-9
I have prepared a python code to execute a dynamic simulation on the savnw.sav/savnw.dyr files located in the example folder of the PSSe v.33 installation. To assign the CIM5BL model to loads located at bus 154, add the following data to the end of the savnw.dyr file and save it:
@! cim5 load model
@! M, RA, XA, Xm, R1, X1, R2, X2, E1, S(E1), E2, S(E2), MBASE,PMULT, H, VI, TI, TB, D, Tnom
154, 'CIM5BL', '*', 2, 0.053, 0.076, 2.4, 0.048, 0.062, 999.0, 999.0, 1.0, 0.06, 1.2, 0.6, 0.0, 1.2, 0.28, 0.0, 0.0, 0.0, 1.0, 0.0, / m1
Download the runsim.py code [copy the link into your browser if it does not connect when clicking on it]:JConto_google drive. Once you select “runsim.py”, an icon on the top-center screen will perform the download.
Make sure you can run it in your PC and then later, modify it to fit your run. Study the log file to check that there is no error produced by the PSSe activitites (python commands).
| | 2 | No.2 Revision |
The CIM5 load model is discussed in the PSSe "Models.pdf" manual, pg. 9-9
I have prepared a python code to execute a dynamic simulation on the savnw.sav/savnw.dyr files located in the example folder of the PSSe v.33 installation. To assign the CIM5BL model to loads located at bus 154, add the following data to the end of the savnw.dyr file and save it:
@! cim5 load model
@! M, RA, XA, Xm, R1, X1, R2, X2, E1, S(E1), E2, S(E2), MBASE,PMULT, H, VI, TI, TB, D, Tnom
154, 'CIM5BL', '*', 2, 0.053, 0.076, 2.4, 0.048, 0.062, 999.0, 999.0, 0.0, 0.0, 1.0, 0.06, 1.2, 0.6, 0.0, 1.2, 0.28, 0.0, 0.0, 0.0, 1.0, 0.0, / m1
Download the runsim.py code [copy the link into your browser if it does not connect when clicking on it]:JConto_google drive. Once you select “runsim.py”, an icon on the top-center screen will perform the download.
Make sure you can run it in your PC and then later, modify it to fit your run. Study the log file to check that there is no error produced by the PSSe activitites (python commands). If needed, set the integration step size to 0.001 (and matching freq. parameter to 0.004) to help with NAN output and not convergence issues.
