DocumentCode :
1181187
Title :
Improved algorithms for multi-area reliability evaluation using the decomposition-simulation approach
Author :
Singh, Chanan ; Lago-Gonzalez, Alex
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
4
Issue :
1
fYear :
1989
fDate :
2/1/1989 12:00:00 AM
Firstpage :
321
Lastpage :
328
Abstract :
Algorithms are presented for improving the overall effectiveness and efficiency of the decomposition-simulation approach for multi-area reliability evaluation. An algorithm for developing a multi-area load model is first described. This algorithm is based on clustering concepts and captures correlation between area loads. Next, algorithms for simplifying frequency calculations are described. These algorithms provide substantial reductions in the computational time requirement, thus alleviating one of the drawbacks of the decomposition-simulation approach. System studies are presented to demonstrate the relative merits of all the algorithms introduced here
Keywords :
load (electric); power systems; reliability; decomposition-simulation approach; load model; multi-area reliability evaluation; power systems; Clustering algorithms; Computational modeling; Frequency; Load management; Load modeling; Power & Energy Society; Power engineering and energy; Power systems; Samarium; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.32495
Filename :
32495
Link To Document :
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