Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPWRS.2008.919425
Title: Comparison of simulation methods for power system reliability indexes and their distributions
Authors: Jirutitijaroen, P. 
Singh, C.
Keywords: Discrete Latin hypercube sampling
Latin hypercube sampling
Monte Carlo sampling
Power system reliability
Single area reliability analysis
Issue Date: May-2008
Source: Jirutitijaroen, P., Singh, C. (2008-05). Comparison of simulation methods for power system reliability indexes and their distributions. IEEE Transactions on Power Systems 23 (2) : 486-493. ScholarBank@NUS Repository. https://doi.org/10.1109/TPWRS.2008.919425
Abstract: In this paper, Latin hypercube sampling (LHS) is investigated in connection with reliability evaluation of a power system. A new sampling technique called discrete Latin hypercube (DLHS) is also proposed. Distributions of reliability indexes resulting from two sampling techniques are presented and analyzed along with those from Monte Carlo (MC) sampling. A comparison among LHS, DLHS and traditional MC for reliability analysis is made. The LHS and DLHS are shown to be more effective than MC for obtaining distributions of indices that are close to the real distributions. The distributions of indices are useful in risk analysis and certain stochastic optimization problems. The test system is a 12-area power system which is based on the data from an actual multi-area system. © 2008 IEEE.
Source Title: IEEE Transactions on Power Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/55358
ISSN: 08858950
DOI: 10.1109/TPWRS.2008.919425
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