DocumentCode :
1877793
Title :
Enhanced power system control and management via intelligent substations
Author :
Booth, C. ; McDonald, J.R. ; Stewart, R.W. ; Laycock, W.J. ; Bennett, A.
Author_Institution :
Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
fYear :
1993
fDate :
7-10 Dec 1993
Firstpage :
542
Abstract :
This paper explores the possibilities for a distributed control and management system, with major transmission substations performing tasks such as alarm processing, fault diagnosis and condition monitoring on a local basis; that is, accepting data from local and adjacent substations, processing this data, and sending concise and summarised messages to the control centre (with the potential for localised executive action in some instances). The advantages of such an arrangement are demonstrated, including: reduction in SCADA system load, especially during critical periods; increased local autonomy, thus facilitating substation automation; faster response times due to the distributed nature of the processing throughout the power system. Examples of ongoing research into the realisation of such a system are given, showing test results from packages already developed, using data provided by utilities and manufacturers. Problems with the implementation of such systems are covered, and ideas for the future solutions to these problems are suggested
Keywords :
SCADA systems; alarm systems; distributed control; expert systems; failure analysis; intelligent control; neural nets; power system computer control; substations; SCADA system load reduction; alarm processing; condition monitoring; distributed control; expert systems; fault diagnosis; intelligent substations; local autonomy increase; neural networks; power system control; power system management; substation automation; transmission substations;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
Conference_Location :
IET
Print_ISBN :
0-85296-569-9
Type :
conf
Filename :
292664
Link To Document :
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