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Python-based automated grid planning for enhanced supply reliability - DSO Lnett,  Norway
Automated grid planning to evaluate multiple network development variant

Power Utilities

Lnett

4319 Sandnes Norway

Lnett DSO Norway
Sandnes,
Norway
Sustainability
  • Development of a flexible PSS®SINCAL API solution to variate a huge number of parameters like point in time, network operation/expansion, etc. 
  • Align API workflow with PSS®SINCAL model, without sharing restricted network data with Siemens PTI. 
  • Consistent naming and modelling for the overall PSS®SINCAL model. 
  • Use of Lnett-specific existing documentation of planned and to be evaluated network development variants as API input parameters. 
  • Development of a robust, fast and flexible python-based API workflow for PSS®SINCAL to simulate and evaluate several variants. 
  • Development of the API solution based on a PSS®SINCAL grid model, without using any restricted customer data. 
  • Simple and easy adaption of all relevant input parameters by using the existing documentation structure of Lnett. 
  • Automated power flow and short-circuit calculation and evaluation for variants. 
The automation solution for PSS®SINCAL has enhanced Lnett's ability to build future models in a time-saving manner, with high precision and flexibility. This capability enables us to make informed investment decisions based on comprehensive technical and socio-economic analyses.
Gunstein Augland, Head of Power System Analysis, Lnett, Norway
  • Accelerated planning and massive time saving of more than a weekly full-time equivalent for each network development analysis. 
  • Seamless integration so that existing documentation of network variants can remain unchanged. 
  • Know-how transfer to customer and best-practice sharing by PTI energy and software domain experts. 
  • Flexible, future-proof and autonomous use and adaption through code sharing with customer. 
Norway / Python-based automated grid planning
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