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Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages . Allen Cousins – Senior GIS Analyst . Overview. Background Outage Prediction Implementation Future. Background. Established 1889 355,000 Electric Customers 314,000 Gas Customers
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Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages Allen Cousins – Senior GIS Analyst
Overview • Background • Outage Prediction • Implementation • Future
Background Established 1889 355,000 Electric Customers 314,000 Gas Customers 26,400 Sq. Miles 8 Hydro Facilities Customers Electric Gas Both
Avista’s GIS • ESRI ArcGIS/SDE 9.2 • Oracle 10g • 400+ Users • Avista Facilities Management (AFM) • Edit - Electric and Gas • OMS (OMT) - Electric • Design - Electric and Gas • Gas Compliance • Engineering Analysis - SynerGEE • Servers (OMT, Batch Posting, Compliance, Work, Statistics) • Mobile – TC Technology Mapbook
OMT - Overview • Logically connected network. • Customer driven. • Customer outages are georeferenced. • Outages are assessed and prioritized • Geographically related • Electrically related • Prioritized by number and type of customers effected.
OMT – Problems • Relies on customers to report outages. • May or may not report outage. • Customer observations may be unreliable. • Reactive versus proactive. • Labor and time intensive analysis. • Delay in analysis causes restoration delays. • Verification of outage restoration.
AMI – Overview • Automated Metering Infrastructure (AMI). • Two-way Automatic Communication System (TWACS). • Remote meter reading. • Allows for the “ping” of the meter.
Implementation - Technology • Visual Studio .NET and C# • Component-based Scalable Logical Architecture (CSLA .NET) by Rockford Lhotka - www.lhotka.net • ArcObjects used to create custom trace routines to trace the GIS logical network . • TWACS hijacking
The Future… • Analysis vs Scanning • Storm Curve • Verification of restoration