CASE STUDY

Unified GIS Platform for Utility-Scale Power Distribution Management

Unified GIS Platform for Utility-Scale Power Distribution Management

The Assignment

Power utilities manage extensive networks of interconnected assets, consumers and operational systems. As the volume and complexity of network information increases, utilities require a unified spatial environment that can bring together network, asset and operational information and make it accessible across the enterprise.

CS TECH Ai has implemented Enterprise GIS solutions for electrical utility clients, using location intelligence to provide a structured view of utility networks and support network management, operations and decision-making. Its documented experience includes Enterprise GIS implementation for electrical utility clients across three Indian states, covering approximately 28 million users.

Our Approach

CS TECH Ai brings together GIS, network modelling and enterprise information management to establish a common spatial framework for utility operations.

The solution framework includes:

  • Enterprise GIS implementation
  • Spatial representation of electrical networks
  • Network and asset data management
  • Integration of spatial and operational information
  • Creation of structured utility network models
  • Management and maintenance of network data
  • Location-based visualization of utility assets
  • Network analysis and modelling
  • Enterprise reporting and decision support
  • Integration of GIS information with wider utility workflows

The resulting GIS environment provides utility teams with a common spatial view of their infrastructure and associated information.

Experience at Scale

CS TECH Ai's documented power-sector credentials include:

  • Enterprise GIS implementation for electrical utility clients across 3 Indian states
  • Approximately 28 million users covered
  • 65,000+ miles of network mapping under Advanced Metering Infrastructure programmes
  • 5,000+ assets associated with the AMI programme
  • Approximately 10 million consumers benefiting from the AMI engagement

These credentials demonstrate experience in managing geospatial information across large and complex utility environments.

Connecting Network, Asset & Consumer Information

GIS adds a spatial dimension to conventional utility databases, allowing network information to be understood in relation to its real-world location and connectivity.

CS TECH Ai's utility GIS capabilities support:

  • Electrical network modelling
  • Asset and network analysis
  • Network-data management
  • Consumer indexing
  • Connectivity tracing
  • Location-based asset information
  • Enterprise access to network data

GIS-based Consumer Indexing can create a georeferenced consumer and network database containing information such as consumer location and consumption patterns, while maintaining traceability through network components including transformers, feeders, poles and circuits.

From Network Data to Enterprise Spatial Intelligence

The enterprise workflow can be represented as:

Network & Asset Data → Enterprise GIS → Network Modelling & Connectivity → Operational Information → Spatial Analysis & Visualization → Enterprise Decision Support

Rather than maintaining network information within disconnected systems, the GIS environment provides a spatial framework through which utility information can be organized, visualized and used across operational workflows.

Supporting Utility Operations

CS TECH Ai's wider utility technology capabilities enable GIS information to work alongside operational systems and processes.

These include:

  • SCADA integration
  • Distribution Management Systems
  • Outage Management Systems
  • Corporate Spatial Data Warehouses
  • Asset health management
  • Real-time situational awareness
  • Operational and network-data integration

For example, combining GIS and SCADA enables operational data to be viewed spatially, while GIS-based outage management can help identify outage locations, determine affected customers and support restoration prioritization.

Impact

Established enterprise-scale GIS environments for electrical utility operations.
Brought network and asset information into a common spatial framework.
Supported management and maintenance of large utility-network datasets.
Enabled spatial visualization and analysis of electrical infrastructure.
Connected consumer information with network components through georeferenced databases.
Improved enterprise access to network and asset information.
Provided a foundation for integration of GIS with wider operational utility systems.
Supported more informed network-management and operational decision-making.
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