Check the post "MPjobs tool for PSSe runs in Parallel". It has a link to download my tool, MPjobs and it includes a critical clearing time (CCT) study example. Follow the instruction in the readme.txt file.
The CCT data input is in cct_1d.ini and the code that runs the study is in scripts\cct_1d.py. In this example, MPjobs runs multiple instances of cct_1d.py according to data defined in cct_1d.ini. The corresponding *.out and *.log created will have to be analyzed to assert CCT outcome.
The cct_1d.py expects to find a converted case and a snap file in the path specified in the ini file. When you have a non-converted case and a dyr file, the converted case and snap file can be created with the following script:
psspy.case('my.sav')
psspy.conl(0,1,1,[0,0],[ 100.0,0.0,0.0, 100.0])
psspy.conl(0,1,2,[0,0],[ 100.0,0.0,0.0, 100.0])
psspy.conl(0,1,3,[0,0],[ 100.0,0.0,0.0, 100.0])
psspy.cong()
psspy.ordr(0)
psspy.fact()
psspy.tysl(0)
psspy.tysl(0)
psspy.save('my_cnv.sav')
#** Read DYRE records - system dynamics + solar PV dynamics
psspy.dyre_new([1,1,1,1],'my.dyr','','','')
#** Save snapshot for dynamics
psspy.snap([-1,-1,-1,-1,-1],'my.snp')
If specific channels are monitored, plots of those channels for the multiple *.out files can be done to visualize the CCT outcome (for plotting check the post "Channels - tool to process outs files").
