DocumentCode :
2385832
Title :
An interior point method for state estimation with current magnitude measurements and inequality constraints
Author :
Handschin, E. ; Langer, M. ; Kliokys, E.
Author_Institution :
Fac. of Electr. Eng., Dortmund Univ., Germany
fYear :
1995
fDate :
7-12 May 1995
Firstpage :
385
Lastpage :
391
Abstract :
The possibility of power system state estimation with nontraditional measurement configurations is investigated. It is assumed that some substations are equipped with current magnitude measurements. Unique state estimation is possible, in such a situation, if currents are combined with voltage or power measurements and inequality constraints on node power injections are taken into account. A state estimation algorithm facilitating the efficient incorporation of inequality constraints is developed using an interior point optimization method. Simulation results showing the performance of the algorithm are presented. The method can be used for state estimation in medium voltage subtransmission and distribution networks
Keywords :
digital simulation; distribution networks; electric current measurement; optimisation; power measurement; power system analysis computing; power system measurement; power system state estimation; power transmission; substations; transmission networks; voltage measurement; MV distribution networks; MV subtransmission networks; algorithm; computer simulation; current magnitude measurements; inequality constraints; interior point method; node power injections; optimization method; performance; power measurements; power system state estimation; substations; voltage measurements; Current measurement; Electric variables measurement; Medium voltage; Power measurement; Power system measurements; Power system modeling; Power system reliability; Power system simulation; State estimation; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-2663-6
Type :
conf
DOI :
10.1109/PICA.1995.515268
Filename :
515268
Link To Document :
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