Title :
Verifying data integrity: If you cannot believe the data, how can you believe the analytics?
Author :
Lankutis, J. David
Author_Institution :
POWER Eng., Rapid City, SD, USA
fDate :
April 28 2013-May 1 2013
Abstract :
This paper describes the methodologies that various utilities use to validate the data in their Outage Management System (OMS), Geographic Information System (GIS), Customer Information System (CIS) and Advanced Metering Infrastructure (AMI) This data is the foundation of reliable operation of OMS and Distribution Management System (DMS) as well as accurate system planning studies. Utilities have suffered significant financial and political impacts due to missing and/or inaccurate data. Included is a discussion of how utilities validate the data from their outage database in order to prioritize reliability expenditures on the electric distribution system.
Keywords :
data integrity; geographic information systems; power distribution economics; power distribution planning; power distribution reliability; power system management; power system measurement; AMI; CIS; DMS; GIS; OMS; advanced metering infrastructure; customer information system; data integrity; distribution management system; electric distribution system; geographic information system; outage management system; reliability expenditure; system planning study; Databases; Power outages; Power system reliability; Reliability engineering; Wires; Cost Benefit Analysis; Power Distribution; Power System Analysis Computing; Power System Economics; Power System Planning; Power System Reliability; Power System Restoration; Reliability Engineering; Risk Analysis;
Conference_Titel :
Rural Electric Power Conference (REPC), 2013 IEEE
Conference_Location :
Stone Mountain, GA
Print_ISBN :
978-1-4673-5173-7
DOI :
10.1109/REPCon.2013.6681859
