Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition

H. Yu; C.Y. Chung; Kitpo Wong; H.W. Lee; J.H. Zhang

doi:10.1109/TPWRS.2009.2016589

Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition

H. Yu, C.Y. Chung, Kitpo Wong, H.W. Lee, J.H. Zhang

Research output: Contribution to journal › Article › peer-review

489 Citations (Scopus)

Abstract

Monte Carlo simulation method combined withsimple random sampling (SRS) suffers from long computationtime and heavy computer storage requirement when used inprobabilistic load flow (PLF) evaluation and other power systemprobabilistic analyses. This paper proposes the use of an efficientsampling method, Latin hypercube sampling (LHS) combinedwith Cholesky decomposition method (LHS-CD), into MonteCarlo simulation for solving the PLF problems. The LHS-CDsampling method is investigated using IEEE 14-bus and 118-bussystems. The method is compared with SRS and LHS only withrandom permutation (LHS-RP). LHS-CD is found to be robustand flexible and has the potential to be applied in many powersystem probabilistic problems.

Original language	English
Pages (from-to)	661-667
Journal	IEEE Transactions on Power Systems
Volume	24
Issue number	2
DOIs	https://doi.org/10.1109/TPWRS.2009.2016589
Publication status	Published - 2009

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abstract = "Monte Carlo simulation method combined withsimple random sampling (SRS) suffers from long computationtime and heavy computer storage requirement when used inprobabilistic load flow (PLF) evaluation and other power systemprobabilistic analyses. This paper proposes the use of an efficientsampling method, Latin hypercube sampling (LHS) combinedwith Cholesky decomposition method (LHS-CD), into MonteCarlo simulation for solving the PLF problems. The LHS-CDsampling method is investigated using IEEE 14-bus and 118-bussystems. The method is compared with SRS and LHS only withrandom permutation (LHS-RP). LHS-CD is found to be robustand flexible and has the potential to be applied in many powersystem probabilistic problems.",

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AU - Zhang, J.H.

PY - 2009

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Probabilistic Load Flow Evaluation With Hybrid Latin Hypercube Sampling and Cholesky Decomposition

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