C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis

doi:10.1109/JAS.2020.1003267

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	C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis
	Jin Xu; Wei Wu; Keyou Wang; Guojie Li
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:4 页码:1154-1160
关键词	Monte Carlo simulation pair copula small signal stability wind power correlation
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003267
英文摘要	The increasing integration of wind power generation brings more uncertainty into the power system. Since the correlation may have a notable influence on the power system, the output powers of wind farms are generally considered as correlated random variables in uncertainty analysis. In this paper, the C-vine pair copula theory is introduced to describe the complicated dependence of multidimensional wind power injection, and samples obeying this dependence structure are generated. Monte Carlo simulation is performed to analyze the small signal stability of a test system. The probabilistic stability under different correlation models and different operating conditions scenarios is investigated. The results indicate that the probabilistic small signal stability analysis adopting pair copula model is more accurate and stable than other dependence models under different conditions.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43027]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Jin Xu,Wei Wu,Keyou Wang,et al. C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):1154-1160.
APA	Jin Xu,Wei Wu,Keyou Wang,&Guojie Li.(2020).C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis.IEEE/CAA Journal of Automatica Sinica,7(4),1154-1160.
MLA	Jin Xu,et al."C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis".IEEE/CAA Journal of Automatica Sinica 7.4(2020):1154-1160.