DocumentCode :
1418110
Title :
Aggregation of exciter models for constructing power system dynamic equivalents
Author :
Galarza, R.J. ; Chow, J.H. ; Price, W.W. ; Hargrave, A.W. ; Hirsch, Peter M.
Author_Institution :
Dept. of Electr. Power Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
13
Issue :
3
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
782
Lastpage :
788
Abstract :
Constructing a dynamic equivalent for a power system involves several steps: the partition of the system into coherent areas, the coherent area aggregation, and the aggregation of the coherent generators and their control devices. In this paper we investigate the aggregation of exciter models. A trajectory sensitivity method is used to tune the aggregate exciter parameters of the reduced model. The optimal results are used to evaluate the aggregation from the DYNRED program and a weighted MVA method. A three-machine system with one coherent area satisfying the theoretical coherency conditions is used to investigate the impact of the variations of the individual generator, network, and exciter parameters on the aggregate exciter model parameters. The results are then applied to the exciter aggregation of a larger 48-machine system
Keywords :
AC generators; digital simulation; exciters; power system analysis computing; power system stability; sensitivity analysis; 48-machine system; DYNRED program; coherent area aggregation; coherent areas; coherent generators aggregation; control devices; exciter models aggregation; power system dynamic equivalents; power system partitioning; reduced model; three-machine system; trajectory sensitivity method; weighted MVA method; Aggregates; Power engineering and energy; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system simulation; Power system stability; Power system transients;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.708632
Filename :
708632
Link To Document :
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