[X] Browse the tutorials and tests for usefull code snippets and examples of use
[X] Reproduced the issue after updating with pip install --upgrade pandapower (or git pull)
[X] Tried basic troubleshooting (if a bug/error) like restarting the interpreter and checking the pythonpath
Reproducible Example
n/a
Issue Description and Traceback
There is a disconnect with network convergence and using the pandapower toolbox. I run a time series ACOPF with continue_on_divergence=False and it shows that it runs 100% of the time steps/no errors. However, when I try to use toolbox metrics such as, pandapower.overloaded_lines(net, max_load=100) - I get the following message:
UserWarning("The last loadflow terminated erratically, results are invalid!"). Which I see in the code (result_info.py) means that net.converaged did not pass....?
Is there an explanation for this behavior?
Thanks!
Expected Behavior
I would expect that either time series module would show an error or the toolbox features would work.
Bug report checklis
[X] Searched the issues page for similar reports
[X] Read the relevant sections of the documentation
[X] Browse the tutorials and tests for usefull code snippets and examples of use
[X] Reproduced the issue after updating with
pip install --upgrade pandapower
(orgit pull
)[X] Tried basic troubleshooting (if a bug/error) like restarting the interpreter and checking the pythonpath
Reproducible Example
Issue Description and Traceback
There is a disconnect with network convergence and using the pandapower toolbox. I run a time series ACOPF with continue_on_divergence=False and it shows that it runs 100% of the time steps/no errors. However, when I try to use toolbox metrics such as, pandapower.overloaded_lines(net, max_load=100) - I get the following message: UserWarning("The last loadflow terminated erratically, results are invalid!"). Which I see in the code (result_info.py) means that net.converaged did not pass....?
Is there an explanation for this behavior?
Thanks!
Expected Behavior
I would expect that either time series module would show an error or the toolbox features would work.
Installed Versions
Label