Estimation and characteristic analysis of large-scale wind farm generation in cyber physical energy system

被引：0

作者：

Wu J. ^{[1
]}

Jin J. ^{[2
]}

Guan X. ^{[1
]}

Xie D. ^{[1
]}

Lu C. ^{[3
]}

机构：

[1] Ministry of Education Key Lab for Intelligent Networks and Networks Security, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi Province

[2] Inner Mongolia Hydro and Power Design Institute, Huhehaote, 010020, Inner Mongolia

[3] North United Power Company Xing'an Thermal Power Corporation, Wulanhaote, 137400, Inner Mongolia

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2016年 / 36卷 / 15期

基金：

中国国家自然科学基金;

关键词：

Cyber physical system; Particle filter; Stochastic dynamic system; Wind energy;

D O I：

10.13334/j.0258-8013.pcsee.152273

中图分类号：

学科分类号：

摘要：

The variability and uncertainty of wind energy is becoming a huge threat to the security and stability of the grid with high wind penetration. This paper focused on the stochastic dynamic model for aggregated generation of large-scale wind farm in cyber physical energy system, and presented a dynamic system description aggregated generation of wind turbines based on stochastic Burgers equation from near-surface wind field's dynamics and wind-generation function with uncertainties. Then we developed a particle filter based solutions to estimate the τ-step-ahead generation of this nonlinear dynamic system. Finally, a 30-turbine study case shows that this method is efficient and effective. © 2016 Chin. Soc. for Elec. Eng.

引用

页码：4055 / 4063

页数：8

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