DocumentCode :
981927
Title :
State estimation for electric power distribution systems in quasi real-time conditions
Author :
Roytelman, I. ; Shahidehpour, S.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
8
Issue :
4
fYear :
1993
fDate :
10/1/1993 12:00:00 AM
Firstpage :
2009
Lastpage :
2015
Abstract :
This paper proposes a new method for the state estimation of electric power distribution system conditions oriented towards working with minimum number of remote measurements available in the network. This approach will require information concerning the network reconfiguration, remote measurements of voltages, real and reactive power as well as feeder currents in distribution substations. All kinds of statistical information pertaining to distribution transformer loads are used together with real-time remote measurements. In the proposed method, the existing scheme configuration is examined by a configuration pre-screening process based on the addressed references in an oriented graph. The permissible intervals for remote measurement errors and the reliability of statistical information are discussed. A practical example is presented and the exploitation of results has proved its accuracy and efficiency
Keywords :
distribution networks; load (electric); power system computer control; power system measurement; power transformers; real-time systems; state estimation; substations; telemetering; accuracy; addressed references; distribution systems; distribution transformer loads; efficiency; feeder currents; measurement errors; oriented graph; power system computer control; pre-screening process; quasi real-time conditions; reactive power; real and reactive power; reconfiguration; reliability; remote measurements; state estimation; statistical information; substations; voltage; Automatic control; Automation; Control system synthesis; Load flow; Optimal control; Power measurement; Power system modeling; Power system reliability; Real time systems; State estimation;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.248315
Filename :
248315
Link To Document :
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