期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 24, 期 2, 页码 661-667出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2009.2016589
关键词
Latin hypercube sampling; Monte Carlo simulation; probabilistic load flow calculation; uncertainty
资金
- Department of Electrical Engineering of The Hong Kong Polytechnic University [G-YF26]
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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