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
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2214447
