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Optimize investments using historical reliability data

Reliability Analytics is one of three modular, user-friendly, web-based application packages designed to fully leverage Landis+Gyr’s Advanced Grid Analytics (AGA) platform, maximizing the value of available data from the GIS and OMS to improve reliability.

A variety of reliability solutions are evaluated and compared across the system to address specific outage types in order to prioritize projects on a cost-benefit basis and optimize spending on reliability improvement projects. The power distribution system connectivity model, customer density, and historical outage data are required to establish a historical reliability performance baseline from the circuit to the company level. The Reliability Analytics offering contains four modules leveraging GIS and OMS data to estimate reliability improvement, justify budgetary decisions, and improve SAIDI, SAIFI, and CAIDI.

Included Modules

Connectivity Model Validation Module

Identify gaps in connectivity model

Learn more about the Connectivity Model Validation Module

Reliability Performance Module

Process historical outage data system-wide to calculate​ SAIDI, SAIFI, CAIDI, and unserved energy

Learn more about the Reliability Performance Module

Project Prioritization Module

Calculate the return on investment of various reliability projects​ to optimize budget allocation

Learn more about the Project Prioritization Module

Reliability Planning Module

Test various reliability projects to determine their technical impact based on historical outage events

Learn more about the Reliability Planning Module