DocumentCode
1544279
Title
Substation based data interpretation techniques for improved power system management
Author
Booth, C. ; McDonald, J.R. ; Laycock, W.J. ; Bennett, A.
Author_Institution
Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
Volume
12
Issue
2
fYear
1997
fDate
4/1/1997 12:00:00 AM
Firstpage
700
Lastpage
706
Abstract
There is now considerable pressure on electric utilities to operate their power systems in the most efficient manner possible and to provide increased quality of service to customers. This pressure, coupled with the decreasing availability of reserve margins, dictates that there is a requirement for comprehensive power system operation support through, among other things, the provision of quality information relating to the behaviour of the primary and secondary systems. This paper shows how the data available within modern substation control and management systems can be exploited in a cost-effective manner, through the implementation of advanced substation functions in an open systems environment. Certain functions which are presently carried out at the control centre could be distributed (or partially distributed) to the substation. These functions may provide utility staff with quality information, which can in turn be used to satisfy the objectives of increasing quality and security of supply, in addition to optimising the utility´s information, maintenance and asset management functions
Keywords
electricity supply industry; management information systems; open systems; power supply quality; power system control; power system security; substations; electric utilities; open systems environment; power quality; power supply security; power system management; substation control; substation-based data interpretation; Asset management; Control systems; Environmental management; Information security; Open systems; Power industry; Power system management; Power systems; Quality of service; Substations;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/61.584351
Filename
584351
Link To Document