DocumentCode :
135174
Title :
A better GIS leads to a better DMS
Author :
Chakravarty, Priyam ; Wickramasekara, M. Gamini
Author_Institution :
Struct. Group, Houston, TX, USA
fYear :
2014
fDate :
11-14 March 2014
Firstpage :
1
Lastpage :
5
Abstract :
With more and more utilities working towards deployment of new Distribution Management Systems (DMS), data availability and reliability have become an imminent requirement for their success. A DMS is only as good as the data that is fed into it, and defective data can lead to inaccurate calculations and produce low quality results in advanced power applications, such as load flow, fault analysis and protection coordination. Therefore, there is an ever-present requirement for a data repository that can hold the list of all devices and their respective attributes not only entirely, but also accurately. This goal can be fulfilled using a Geographic Information System (GIS) that can store not only the precise location of the devices in the system but also variety of data associated to each device. GIS is traditionally used to support Outage Management Systems (OMS), but with accurate component data, it can be easily expanded to supplement a DMS as well. The goal of this paper is to explain the steps involved in a successful integration of GIS data into DMS. These steps include data gap analysis, data capturing for unavailable or lost data, DMS-GIS interface, static and dynamic validations, and testing. Finally, DMS application results will be demonstrated for a test system with and without accurate data to demonstrate the strong dependency of DMS on GIS data.
Keywords :
distribution networks; geographic information systems; load flow; load management; power engineering computing; DMS-GIS interface; OMS; data availability; data capturing; data gap analysis; data reliability; distribution management systems; fault analysis; geographic information system; load flow; outage management systems; protection coordination; Geographic information systems; Reliability; Testing; DMS; DMS applications; GIS; GIS integration; data gap analysis; data reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location :
Clemson, SC
Type :
conf
DOI :
10.1109/PSC.2014.6808092
Filename :
6808092
Link To Document :
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