DocumentCode :
849844
Title :
Choosing the appropriate boundary for adaptive reduction [power system load flow]
Author :
Chen, Yilang ; Bose, Anjan
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
3
Issue :
2
fYear :
1988
fDate :
5/1/1988 12:00:00 AM
Firstpage :
747
Lastpage :
752
Abstract :
Adaptive reduction method provides a way to retain the maximum sparsity in the power network matrix after reduction. It also provides a fast reduction calculation using the sparse vector technique, making it attractive for online load flow analysis applications. The question of determining the minimal reduced model size to work in conjunction with adaptive reduction is considered. Guidelines are developed for choosing the appropriate boundary when this can be done offline. A method is then presented for determining the boundary online, and its advantages are discussed. By choosing the appropriate boundary for adaptive reduction, the best size and sparsity of the reduced network model can be obtained to get the best solution speed
Keywords :
boundary-value problems; load flow; power systems; adaptive reduction; boundary; boundary value problems; load flow analysis; network model; power network matrix; solution speed; sparse vector technique; sparsity; Adaptive systems; Admittance; Computational efficiency; Computer industry; Computer networks; Guidelines; Load flow; Power system modeling; Power systems; Sparse matrices;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.192931
Filename :
192931
Link To Document :
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