
FOLLOWUS
1.Faculty of Engineering, Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2.Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran
[ "Mostafa HOSSEINPOUR, E-mail: hoseinpoor_mostafa@yahoo.com" ]
收稿:2012-11-09,
修回:2013-;5-13,
纸质出版:2013-06
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A probabilistic model for assessing the reliability of wind farms in a power system[J]. 信息与电子工程前沿(英文), 2013,14(6):464-474.
Mostafa HOSSEINPOUR, Habib RAJABI MASHHADI, Mohammad Ebrahim HAJIABADI. A probabilistic model for assessing the reliability of wind farms in a power system[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(6): 464-474.
A probabilistic model for assessing the reliability of wind farms in a power system[J]. 信息与电子工程前沿(英文), 2013,14(6):464-474. DOI: 10.1631/jzus.C1200317.
Mostafa HOSSEINPOUR, Habib RAJABI MASHHADI, Mohammad Ebrahim HAJIABADI. A probabilistic model for assessing the reliability of wind farms in a power system[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(6): 464-474. DOI: 10.1631/jzus.C1200317.
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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