DocumentCode
1418508
Title
Power system modelling and analysis in a mixed energy management and distribution management system
Author
Singh, N. ; Kliokys, E. ; Feldmann, H. ; Kussel, R. ; Chrustowski, R. ; Joborowicz, C.
Author_Institution
ABB Network Partner Ltd., Turgi, Switzerland
Volume
13
Issue
3
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
1143
Lastpage
1149
Abstract
Energy management systems (EMS) and distribution management systems (DMS) have developed over the years as two distinct branches of control centres working on supervisory control and data acquisition (SCADA) platforms. A hybrid EMS/DMS system requires higher level security analysis functions such as state estimation and contingency analysis for EMS and feeder voltage and loss optimisation for DMS systems. This paper highlights specialities of these hybrid systems. Special emphasis has been placed on modelling aspects where the common elements between EMS and DMS must be modelled to cater to both types of functions. Since such a system does not have as high a degree of observability as a pure transmission system, the real-time applications such as topology/dynamic network colouring and state estimation have to be tailored to suit them. The complete suite of extended real-time and study mode functions, provide specific operational aids in maintaining security while providing an optimum economic operation. This paper discusses the modelling and functional details of such hybrid systems and practical experience gained during the implementation of such a system is presented
Keywords
SCADA systems; control system analysis computing; distribution networks; load management; power system analysis computing; power system control; power system security; power system state estimation; real-time systems; EMS; SCADA platforms; computer simulation; contingency analysis; distribution management systems; energy management systems; feeder loss optimisation; feeder voltage optimisation; hybrid EMS/DMS system; power system modelling; real-time applications; security analysis functions; state estimation; Control systems; Energy management; Hybrid power systems; Medical services; Power system analysis computing; Power system management; Power system modeling; Power system security; SCADA systems; State estimation;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.709112
Filename
709112
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