DocumentCode :
49855
Title :
Probabilistic load flow computation using Copula and Latin hypercube sampling
Author :
Defu Cai ; Dongyuan Shi ; Jinfu Chen
Author_Institution :
State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
8
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1539
Lastpage :
1549
Abstract :
A probabilistic load flow (PLF) method using Copula and improved Latin hypercube sampling is proposed. The stochastic dependence between input random variables is considered. Copula theory is adopted to establish the probability distribution of correlated input random variables. Based on discrete data, an improved Latin hypercube sampling is proposed. The accuracy of probability distribution of correlated input random variables established by Copula theory is evaluated by adopting the power output of wind farms located at New Jersey. The performance of the proposed PLF method is investigated using IEEE 14-bus and IEEE 118-bus test systems.
Keywords :
load flow; sampling methods; statistical distributions; stochastic processes; wind power plants; Copula theory; IEEE 118-bus test systems; IEEE 14-bus test systems; New Jersey; PLF method; correlated input random variables; discrete data; improved Latin hypercube sampling; probabilistic load flow computation; probability distribution; stochastic dependence; wind farms;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2013.0649
Filename :
6887469
Link To Document :
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