Siemens Smart Grid Communications Assessment Tool

Moving forward into the Smart Grid future, will your communications technology choices ensure or limit your success?

Challenges faced by utilities

The utility industry is undergoing a major transformation that will enable demand management, reliability gains, resource efficiency, customer participation and cleaner energy across the grid. This transformation is facilitated via the deployment of Smart Grid applications including demand response, AMI and feeder automation. The common thread across these applications is that they must be enabled via sophisticated communications networks.

Making well-informed, forward-looking decisions about complex and ever-changing communications technology is not an easy task. Defining an optimal communications technology roadmap to ensure that the right applications are delivered to meet financial and operational objectives involves a number of challenges:

  • Understanding the communications technology ecosystem, landscape of vendors and their differentiators through an unbiased lens

  • Managing risk of obsolescence by balancing the long lifetime of utility assets with the rapid evolution of communications technology

  • Understanding the communication requirements of Smart Grid applications and how those requirements change when multiple applications are deployed over a common communications infrastructure

  • Justifying capital is being spent wisely and counterbalancing external pressures from regulators, politicians and executives

  • And many more!

The Siemens Smart Grid Communications Assessment Tool (SG-CAT) performs a comprehensive communications study that, in about 6-10 weeks, evaluates the utility’s existing communications solution and identifies and analyzes optimal communications strategies that will align with the utility’s Smart Grid roadmap and constraints. SG-CAT is a powerful communications simulation, modeling and analysis platform that Siemens has developed to assess the performance of a given Smart Grid deployment as a function of underlying geographic, topological, and technological constraints unique to each utility.

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