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Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages Allen Cousins – Senior GIS Analyst.

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Presentation on theme: "Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages Allen Cousins – Senior GIS Analyst."— Presentation transcript:

1 Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages Allen Cousins – Senior GIS Analyst

2 Overview Background Outage Prediction Implementation Future

3 Background Established ,000 Electric Customers 314,000 Gas Customers 26,400 Sq. Miles 8 Hydro Facilities Gas Electric Customers Both

4 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

5 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.

6 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.

7 AMI – Overview Automated Metering Infrastructure (AMI).  Two-way Automatic Communication System (TWACS). Remote meter reading. Allows for the “ping” of the meter.

8 Outage Prediction

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11 Implementation - Technology Visual Studio.NET and C# Component-based Scalable Logical Architecture (CSLA.NET) by Rockford Lhotka - ArcObjects used to create custom trace routines to trace the GIS logical network. TWACS hijacking

12 Implementation

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14 The Future… Analysis vs Scanning Storm Curve Verification of restoration


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