CLC number: TM614
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2013-05-13
Cited: 0
Clicked: 7368
Mostafa Hosseinpour, Habib Rajabi Mashhadi, Mohammad Ebrahim Hajiabadi. A probabilistic model for assessing the reliability of wind farms in a power system[J]. Journal of Zhejiang University Science C, 2013, 14(6): 464-474.
@article{title="A probabilistic model for assessing the reliability of wind farms in a power system",
author="Mostafa Hosseinpour, Habib Rajabi Mashhadi, Mohammad Ebrahim Hajiabadi",
journal="Journal of Zhejiang University Science C",
volume="14",
number="6",
pages="464-474",
year="2013",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1200317"
}
%0 Journal Article
%T A probabilistic model for assessing the reliability of wind farms in a power system
%A Mostafa Hosseinpour
%A Habib Rajabi Mashhadi
%A Mohammad Ebrahim Hajiabadi
%J Journal of Zhejiang University SCIENCE C
%V 14
%N 6
%P 464-474
%@ 1869-1951
%D 2013
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1200317
TY - JOUR
T1 - A probabilistic model for assessing the reliability of wind farms in a power system
A1 - Mostafa Hosseinpour
A1 - Habib Rajabi Mashhadi
A1 - Mohammad Ebrahim Hajiabadi
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 6
SP - 464
EP - 474
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1200317
Abstract: Modeling the generation of a wind farm and its effect on power system reliability is a challenging task, largely due to the random behavior of the output power. In this paper, we propose a new probabilistic model for assessing the reliability of wind farms in a power system at hierarchical level II (HLII), using a Monte Carlo simulation. The proposed model shows the effect of correlation between wind and load on reliability calculation. It can also be used for identifying the priority of various points of the network for installing new wind farms, to promote the reliability of the whole system. A simple grid at hierarchical level I (HLI) and a network in the north-eastern region of Iran are studied. Simulation results showed that the correlation between wind and load significantly affects the reliability.
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