C-Vine Pair Copula Based Wind Power Correlation Modelling in Probabilistic Small Signal Stability Analysis
文献类型：期刊论文
| 作者 | Jin Xu; Wei Wu ; Keyou Wang; Guojie Li
|
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 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. |
| 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. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。