Liu, Mingshun and Zhao, Lijin and Huang, Liang and Han, Wenhao and Deng, Changhong and Long, Zhijun (2017) Wind Power System Risk Assessment Based on Fuzzy Clustering and Copula Function Modeling. Energy and Power Engineering, 09 (04). pp. 352-364. ISSN 1949-243X
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Abstract
According to the characteristics of the correlation of multiple wind farm output, this paper put forwards a modeling method based on fuzzy c-means clustering and the copula function, and correlation wind farms are inserted into IEEE-RTS79 reliability system for risk assessment. By the probabilistic load flow calculated by Monte Carlo simulation method, the probability of the accident is derived, and bus voltage and branch power flow overload risk index are defined in this paper. The results show that this method can realize the modeling of the correlation of wind power output, and the risk index can identify the weakness of the system, which can provide reference for the operation and maintenance personnel.
Item Type: | Article |
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Subjects: | STM Open Press > Energy |
Depositing User: | Unnamed user with email support@stmopenpress.com |
Date Deposited: | 16 May 2023 06:24 |
Last Modified: | 19 Jun 2024 12:02 |
URI: | http://journal.submissionpages.com/id/eprint/1270 |