Enhancing your existing AMI investment

The expansion of intelligent devices in grid infrastructure and the need for increased real-time monitoring and remote control capabilities is causing utilities to place increased emphasis on their distribution system for elements such as voltage regulators automated feeder switches, reclosers and capacitor banks. As a result, utilities are evaluating strategies to address these challenges through the design and deployment of distribution automation systems. With more than 200 utility deployments, Sensus Distribution Automation (DA) has long-standing expertise in developing and deploying end-to-end DA systems with established, field-proven solutions that address everything from the back office to the distribution network edge.

Sensus DA solutions are comprised of three main elements: intelligent communications/automation devices; reliable low-latency network communications backbone; and AutomationControlTM software suite for field device control and network management. Collectively, these elements provide a powerful solution for real-time monitoring and control of utility distribution assets, users and communications.

The Sensus DA system is built on open standard systems and protocols such as IP-based communications and DNP3.0 SCADA interfaces. Additionally, Sensus DA SCADA-Xchange™ provides a powerful, open-standards based interface that supports all popular SCADA system suppliers.

Sensus DA solutions help utilities make the most of their distribution assets - enhancing system reliability for reduced outage times and reducing costs. Sensus DA delivers cost-effective wireless communication and control solutions for a wide range of distribution automation and power reliability applications such as:

  • Recloser controller communications
  • Capacitor bank controllers
  • Automated line switches
  • Industrial and commercial load management
  • Substation automation
  • Fault circuit indicators ( FCIs) and current sensor monitoring
  • Line voltage monitoring
  • Power reliability monitoring
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