Method for Assessing Grid Frequency Deviation Due to Wind Power Fluctuation Based on "Time-Frequency Transformation"

被引:28
作者
Jin, Lin [1 ]
Sun Yuan-zhang [2 ,3 ]
Sorensen, Poul [4 ]
Li Guo-jie [5 ]
Gao Weng-zhong [6 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Beijing 100084, Peoples R China
[3] Wuhan Univ, Sch Elect Engn, Wuhan 412007, Peoples R China
[4] Riso DTU Tech Univ Denmark, Wind Energy Div, DK-4000 Roskilde, Denmark
[5] Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China
[6] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80208 USA
关键词
Fourier transform (FT); frequency deviation; power spectrum density (PSD); Wiener-Khinchin theorem; wind power fluctuation;
D O I
10.1109/TSTE.2011.2162639
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Grid frequency deviation caused by wind power fluctuation has been a major concern for secure operation of a power system with integrated large-scale wind power. Many approaches have been proposed to assess this negative effect on grid frequency due to wind power fluctuation. Unfortunately, most published studies are based entirely on deterministic methodology. This paper presents a novel assessment method based on "Time-Frequency Transformation" to overcome shortcomings of existing methods. The main contribution of the paper is to propose a stochastic process "simulation" model which is a better alternative of the existing dynamic frequency deviation simulation model. In this way, the method takes the stochastic wind power fluctuation into full account so as to give a quantitative risk assessment of grid frequency deviation to grid operators, even without using any dynamic simulation tool. The case studies show that this method can be widely used in different types of wind power system analysis scenarios.
引用
收藏
页码:65 / 73
页数:9
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