Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27424
Title: Probabilistic load flow evaluation with hybrid latin hypercube sampling and cholesky decomposition
Authors: Yu, H
Chung, CY
Wong, KP
Lee, HW 
Zhang, JH
Keywords: Latin hypercube sampling
Monte Carlo simulation
Probabilistic load flow calculation
Uncertainty
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on power systems, 2009, v. 24, no. 2, p. 661-667 How to cite?
Journal: IEEE transactions on power systems 
Abstract: Monte Carlo simulation method combined with simple random sampling (SRS) suffers from long computation time and heavy computer storage requirement when used in probabilistic load flow (PLF) evaluation and other power system probabilistic analyses. This paper proposes the use of an efficient sampling method, Latin hypercube sampling (LHS) combined with Cholesky decomposition method (LHS-CD), into Monte Carlo simulation for solving the PLF problems. The LHS-CD sampling method is investigated using IEEE 14-bus and 118-bus systems. The method is compared with SRS and LHS only with random permutation (LHS-RP). LHS-CD is found to be robust and flexible and has the potential to be applied in many power system probabilistic problems.
URI: http://hdl.handle.net/10397/27424
ISSN: 0885-8950
EISSN: 1558-0679
DOI: 10.1109/TPWRS.2009.2016589
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