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PSS®SINCAL and Esri GIS integration for Powerco, New Zealand
Optimized network planning and analysis

Power Utilities

Powerco

New Plymouth New Zealand

New Plymouth
New Plymouth,
New Zealand
Siemens Xcelerator
  • A pressing requirement to enhance data accuracy and consistency across the entire IT landscape. 
  • The utility had to source the required model updates from numerous sources (example SCADA) and re-upload them into the PSS®SINCAL model. This led to substantial time and resources being devoted to the maintenance of the model. 
  • The task at hand encompassed the manual construction of models, leading to a time-consuming process of 3 weeks to a month to identify updates and implement changes in the network model. 
  • Encountered data quality concerns, necessitating a focused effort to ensure the utmost accuracy of the grid model.
  • By the integration of PSS®SINCAL and Esri GIS, Powerco was able to ensure that the geospatial data used for network planning and analysis is accurate and up to date. This led to more reliable simulation results. 
  • Improved data sharing across multiple systems within the utility. 
  • Full auditing capability to track model changes. 
  • Enables seamless asset data exchange, saving time and reducing errors associated with data re-entry. 
  • Enabled the utility to centralize it's geospatial data. This ensured that all relevant information is stored in a unified and standardized format, establishing GIS as the central source of information.
By leveraging the benefits of PSS®SINCAL and Esri GIS integration, we have experienced significant time and cost savings for data maintenance, while significantly enhancing the accuracy of data used for grid planning.
Gabriel Lim - Development Planning Manager, Powerco
  • Effortlessly leverages the most up-to-date accurate base model to conduct complex planning, eliminating the need for extensive effort from the network operations team. 
  • Streamlined workflow by eliminating the need for manual data entry into PSS®SINCAL to update models for simulation. 
  • Automated modeling of 400,000 installation control points. 
  • Timeline for identifying updates and implementing changes in the network model has been significantly reduced from approx. 3 weeks to just 3 days. 
  • Efficient asset data exchange resulted in reduced overall cost for data management. 
  • Achieved data consistency and higher efficiency through a single master of record i.e., GIS. 
  • PSS®SINCAL's advanced simulation capabilities effectively highlighted discrepancies within the model.
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