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