Journal article
Method for Assessing Grid Frequency Deviation Due to Wind Power Fluctuation Based on “Time-Frequency Transformation”
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. © 2010 IEEE.
Language: | English |
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Publisher: | IEEE |
Year: | 2012 |
Pages: | 65-73 |
ISSN: | 19493037 and 19493029 |
Types: | Journal article |
DOI: | 10.1109/TSTE.2011.2162639 |
ORCIDs: | Sørensen, Poul Ejnar |
Fluctuations Fourier transform (FT) Fourier transforms Stochastic processes Time domain analysis Time frequency analysis Wiener–Khinchin theorem Wind power generation frequency deviation power spectrum density (PSD) wind power fluctuation
dynamic frequency deviation simulation model grid frequency deviation assessment method grid operators integrated large-scale wind power power grids power system security quantitative risk assessment risk management stochastic process simulation model time-frequency analysis time-frequency transformation wind power wind power plants wind power system analysis