During dynamic studies, if generators are tripping, how the same can be captured using python (say by tracking terminal voltage or speed)? Will the Python methods for tripping be same for conventional and non-conventional machines? We need to track, out of thousands of running generators, how many are tripping during fault and how many MWs are lost. Any help in this will be greatly appreciated.
Before simulation: Create dict1 with key (ibus,id) och value Pgen for all in-service generators in the system using APIs psspy.amachint, amachchar and amachreal.
After simulation: Create dict2 for all in-service generators after the simulation.
Tripped generators are: tripped_gens = {key: dict1[key] for key in dict1 if key not in dict2}
Dict tripped_gens shows the tripped generators and their original Pgen.
Asked: 2025-04-20 21:36:22 -0500
Seen: 786 times
Last updated: Apr 22
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Would you like to print a report of tripped generators after the simulation?
Thanks. By report, do you mean log files? Log files are useful to derive tripping information. However, the volume of such simulations is 400+ wherein I am looking for storing information of tripped generators directly in csv or excel format. Please let me know if you meant different report.