DocumentCode
50696
Title
Probabilistic Power Flow by Monte Carlo Simulation With Latin Supercube Sampling
Author
Hajian, Masood ; Rosehart, W.D. ; Zareipour, Hamidreza
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Volume
28
Issue
2
fYear
2013
fDate
May-13
Firstpage
1550
Lastpage
1559
Abstract
In this paper, a Latin supercube sampling (LSS) combined with Monte Carlo simulation is presented to efficiently sample random variables in the probabilistic power flow (PPF) problem. The results of the LSS method are compared with other techniques, namely Latin hypercube sampling (LHS) and simple random sampling (SRS), using bin-by-bin histogram comparison. The simulation results are presented for the case of IEEE 118-bus test system.
Keywords
Monte Carlo methods; load flow; IEEE 118-bus test system; LHS; LSS method; Latin hypercube sampling; Latin supercube sampling; Monte Carlo simulation; PPF problem; bin-by-bin histogram comparison; probabilistic power flow problem; simple random sampling; Correlation; Matrix decomposition; Monte Carlo methods; Random variables; Transmission line matrix methods; Uncertainty; Vectors; Latin supercube sampling; Monte Carlo simulation; probabilistic power flow;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2214447
Filename
6320653
Link To Document