DocumentCode :
1359793
Title :
Incorporating the DC load flow model in the decomposition-simulation method of multi-area reliability evaluation
Author :
Mitra, J. ; Singh, C.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
11
Issue :
3
fYear :
1996
fDate :
8/1/1996 12:00:00 AM
Firstpage :
1245
Lastpage :
1254
Abstract :
This paper presents a computationally viable means of incorporating the DC load flow model in the decomposition-simulation method of multi-area reliability evaluation. The implementation described herein uses a multi-state generation model for each area, a cluster-based multi-area load model which accommodates load correlation between areas, a linear programming model with DC load flow constraints for determining the partitioning states in the decomposition phase, and a similar LP model for determining acceptability of sampled states in the simulation phase. Formulations have been described which enhance the speed and accuracy of the method. The implementation has been tested on 3-area, 4-area, and 5-area cases, and the results obtained have been compared with those produced by an explicit Monte-Carlo simulation. While the results obtained from both methods are similar, the method described has been shown to be considerably faster than explicit simulation
Keywords :
Monte Carlo methods; linear programming; load flow; power system analysis computing; power system interconnection; power system reliability; DC load flow model; cluster-based multi-area load model; decomposition-simulation method; explicit Monte-Carlo simulation; linear programming model; load correlation; multi-area reliability evaluation; multi-state generation model; partitioning states; Computational modeling; DC generators; Interconnected systems; Linear programming; Load flow; Load modeling; Power markets; Power system reliability; State-space methods; Testing;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.535596
Filename :
535596
Link To Document :
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