Description:
Reactance values of transformers seem to be incorrectly represented. Typically, transformer reactance values are expected to be around 10% (0.1 p.u.). However, the current values in the data appear to be around 0.001% (0.00001 p.u.), which is significantly lower than the norm. See the PyPSA documentation for the definition of the x series of the transformer attribute.
Expected Behavior:
Transformer reactance values should approximately be within the standard range of around 10% to maintain accuracy in simulations and calculations involving power distribution.
Current Behavior:
The reactance values are currently set at approximately 0.001%, leading to potential high inaccuracies in non-linear power grid modeling and simulation tasks.
Possible Solutions:
Review the source data or the calculations that derive these reactance values to identify any discrepancies.
Update the transformation calculations or data entries to reflect the expected standard values.
Validate the updated values with standard benchmarks or through consultation with domain experts.
Impact:
The current issue might lead to inaccurate modeling of transformer behavior in power grid modeling, highly affecting non-linear studies.
Description: Reactance values of transformers seem to be incorrectly represented. Typically, transformer reactance values are expected to be around 10% (0.1 p.u.). However, the current values in the data appear to be around 0.001% (0.00001 p.u.), which is significantly lower than the norm. See the PyPSA documentation for the definition of the
xseries of the transformer attribute.Expected Behavior: Transformer reactance values should approximately be within the standard range of around 10% to maintain accuracy in simulations and calculations involving power distribution.
Current Behavior: The reactance values are currently set at approximately 0.001%, leading to potential high inaccuracies in non-linear power grid modeling and simulation tasks.
Possible Solutions:
Impact: The current issue might lead to inaccurate modeling of transformer behavior in power grid modeling, highly affecting non-linear studies.