Guam Power Authority picks Landis+Gyr for power grid analytics solution

landis gyr elp

Landis+Gyr has been selected by Guam Power Authority for a comprehensive suite of advanced grid analytics solutions to support a wide range of utility objectives related to loss reduction,  improving asset life and distribution system reliability and efficiency.

Landis+Gyr is providing its advanced grid analytics platform and full suite of applications along with professional implementation and consulting services. This includes the use of its asset loading, voltage analysis, distributed energy resource optimizer, reliability planner, revenue protection and capacity contribution applications.

A generation, transmission and distribution public utility serving the Island of Guam, GPA will use real-time and historical smart meter data, GIS, and other system data for intelligent planning and operational analysis.

Advanced grid analytics assess the health of assets to prevent potential failures, monitor and manage load, enable voltage management programs, and help reduce technical and non-technical losses. The planning functions will allow the utility to optimize capital and O&M improvement programs, while gaining insights to manage the integration of renewable energy resources.

"Analytics is the logical next step for GPA as we continue to add value from our existing smart grid and data management investments," said John Cruz, Manager of Strategic Planning & Operations Research Division (SPORD) at GPA. "We've already seen the possibilities for system and efficiency improvements from our AMI network and now we will be able to more easily put all of this information we have to use in a way that continues service improvements for our customers."

GPA completed installation of Landis+Gyr's Gridstream AMI solution in 2014, and has seen improvements in customer satisfaction, reduction in line losses and outage management benefits. Advanced grid analytics supports additional improvements by identifying, visualizing and monitoring changes across the grid as they occur.

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