Calculation and Forecast on Coefficient of Static Frequency Characteristics Based on Curve Fitting

Fei Fei Dong; Di Chen Liu; Jun Wu; Lin Zhang; Xiao Ming Wang; Ru Song Wang

doi:10.4028/www.scientific.net/AMR.433-440.2817

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Calculation and Forecast on Coefficient of Static...

Calculation and Forecast on Coefficient of Static Frequency Characteristics Based on Curve Fitting

Abstract:

It is commonly used to represent static frequency characteristics of a power system that coefficient K reflects the frequency excursion caused by load changes. As the parameter for dispatching branch to arrange measure or design equipment when frequency excursion occurs, K is of great importance to dispatching branch. However, the traditional methods can only get the range of coefficient K, but not the K corresponded to the specific disturbance. In this paper, curve fitting is used to obtain the trend of K-value by a finite number of measured points of coefficient of static frequency characteristics. And then, the predicted value is compared to the simulated result to judge whether it meets the permitted error. This is a breakthrough in the study of K-value.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2817-2822

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.2817

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Online since:

January 2012

Authors:

Fei Fei Dong, Di Chen Liu, Jun Wu, Lin Zhang, Xiao Ming Wang, Ru Song Wang

Keywords:

Coefficient of Static Frequency Characteristics, Curve Fitting, Frequency Stability, Power System

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References

[1] Zhenxiang Han, etc. Power System Stability [M]. China Electric Power Press. 1993. (in chinese).

Google Scholar

[2] Lu Shun, Xiaoming Jin, Li Xiang. Static frequency characteristics of the Northeast power grid [J]. Northeast Electric Power Technology , 2003, 12: 17-19. (in chinese).

Google Scholar

[3] Yangzan He, ect. Power System Analysis [M]. Wuhan: Huazhong University Press, . 1996. (in chinese).

Google Scholar