Probabilistic load flow evaluation with hybrid latin hypercube sampling and cholesky decomposition

H. Yu; C. Y. Chung; K. P. Wong; Heung Wing Joseph 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, K. P. Wong, Heung Wing Joseph Lee, J. H. Zhang

Research output: Journal article publication › Journal article › Academic research › peer-review

486 Citations (Scopus)

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.

Original language	English
Pages (from-to)	661-667
Number of pages	7
Journal	IEEE Transactions on Power Systems
Volume	24
Issue number	2
DOIs	https://doi.org/10.1109/TPWRS.2009.2016589
Publication status	Published - 2 Apr 2009

Keywords

Latin hypercube sampling
Monte Carlo simulation
Probabilistic load flow calculation
Uncertainty

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

More information

10.1109/TPWRS.2009.2016589

Cite this

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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.",

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Probabilistic load flow evaluation with hybrid latin hypercube sampling and cholesky decomposition

Abstract

Keywords

ASJC Scopus subject areas

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