The complexity of the modern grid is intensifying, and the volume of data across the network is growing at an unprecedented rate. Yet many utilities and distribution system operators (DSOs) are plagued with disconnected, incomplete, or invalid data. Information is one of your most valuable assets – only if it’s validated, secured, analyzed and accessible to decision-makers in real time. It’s more necessary than ever to assemble a unified, complete, and accurate electric network model.
A network map is just a starting piece
The typical network documentation in a generic Geographic Information System (GIS) isn’t enough. By relying on historical map data that was created with no standards, controls or quality rules, network documentation tends to be disconnected, incomplete, often lacks data integrity, and can be electrically invalid.
Your as-built model data is the foundation of your connected network digital twin, with the potential to help reduce costs, improve operational efficiency, and support advanced analytics for a more accurate understanding of your grid. Begin by setting the foundation for your grid modernization with a network-based geospatial model. You need a geospatial network modeling solution with applications that support your operational workflows to ensure the network model is always up to date, detailed and shared with your analytics and operational systems across the enterprise.
The pieces need to fit together – tear down siloes in your business
Utility operations have traditionally been siloed into specialist teams – including planning, engineering, construction, operations, vegetation management, network maintenance, and field service and restoration – which leads to disconnected and redundant data, inefficient workflows, and reduced productivity. What’s more is that across the enterprise, teams are using different software systems including GIS, SCADA, distributed energy resource management (DERM) and advanced distribution management solutions (ADMS), but data integration may not be occurring.
By adopting a shared network model integrating GIS and ADMS, cooperation among departments becomes simpler. The grid data itself becomes an information asset that can be leveraged across the enterprise to drive more effective, collaborative decision-making and faster progress.