1 / 14

Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages

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

espen
Download Presentation

Integrating Automated Metering Infrastructure (AMI) with GIS to Predict Electrical Outages

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

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 1889 355,000 Electric Customers 314,000 Gas Customers 26,400 Sq. Miles 8 Hydro Facilities Customers Electric Gas 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

  9. Outage Prediction

  10. Outage Prediction

  11. 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

  12. Implementation

  13. Implementation

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

More Related