Online Probabilistic Security Assessment Considering Centralized Integration of Large Scale Wind Power

被引：0
|
作者：
Lü Y. [1 ]
Lu G. [1 ]
Xie C. [1 ]
Dai H. [1 ]
Yu Z. [1 ]
Yan J. [1 ]
机构：
[1] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2018年 / 42卷 / 04期
关键词：
Correlation; Probabilistic online security assessment; Uncertainty; Wind power variation;
D O I：
10.13335/j.1000-3673.pst.2017.2897
中图分类号：
学科分类号：
摘要：
Uncertainty and variability of centralized large scale wind power has significant influence on power system security. A probabilistic security assessment method for power grids with centralized wind power integration is proposed for online evaluation. Instead of probabilistic distribution of wind speed or wind power generation forecast errors, wind power variation probability, more suitable for online assessment, is used to model wind power uncertainty. Correlation between power variations of different wind power bases is modeled in detail with Copula method. According to historical dynamic security analysis (DSA) data, possible wind power variation combinations before next interval of DSA calculation can be achieved with the proposed method. Then probabilistic security assessment is carried out to evaluate influence of wind power uncertainty on system security online. In order to improve calculation speed to meet online application, a multi- dimensional discrete model is proposed. Feasibility and necessity of the proposed method is validated in an actual power grid with several large scale centralized wind power bases in China. © 2018, Power System Technology Press. All right reserved.
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页码：1140 / 1148
页数：8
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