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

fYear

2013

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Rural Electric Power Conference (REPC), 2013 IEEE

Conference_Location

Stone Mountain, GA

ISSN

0734-7464

Print_ISBN

978-1-4673-5173-7

Type

conf

DOI

10.1109/REPCon.2013.6681859

Filename

6681859