Inertial Control of a DFIG-based Wind Power Plant using the Maximum Rate of Change of Frequency and the Frequency Deviation

- Journal title : Journal of Electrical Engineering and Technology
- Volume 10, Issue 2, 2015, pp.496-503
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2015.10.2.496

Title & Authors

Inertial Control of a DFIG-based Wind Power Plant using the Maximum Rate of Change of Frequency and the Frequency Deviation

Lee, Hyewon; Kim, Jinho; Hur, Don; Kang, Yong Cheol;

Lee, Hyewon; Kim, Jinho; Hur, Don; Kang, Yong Cheol;

Abstract

In order to let a wind generator (WG) support the frequency control of a power system, a conventional inertial control algorithm using the rate of change of frequency (ROCOF) and frequency deviation loops was suggested. The ROCOF loop is prevailing at the initial stage of the disturbance, but the contribution becomes smaller as time goes on. Moreover, its contribution becomes negative after the frequency rebound. This paper proposes an inertial control algorithm of a wind power plant (WPP) using the maximum ROCOF and frequency deviation loops. The proposed algorithm replaces the ROCOF loop in the conventional inertial control algorithm with the maximum ROCOF loop to retain the maximum value of the ROCOF and eliminate the negative effect after the frequency rebound. The algorithm releases more kinetic energy both before and after the frequency rebound and increases the frequency nadir more than the conventional ROCOF and frequency loops. The performance of the algorithm was investigated under various wind conditions in a model system, which includes a doubly-fed induction generator-based WPP using an EMTP-RV simulator. The results indicate that the algorithm can improve the frequency drop for a disturbance by releasing more kinetic energy.

Keywords

Inertial control;Frequency deviation;Maximum rate of change of frequency and frequency support;

Language

English

Cited by

1.

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control,Shi, Qiaoming;Wang, Gang;Fu, Lijun;Liu, Yang;Wu, You;Xu, Li;

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References

1.

Global Wind Energy Outlook 2012, GWEC, November 2012.

2.

T. Ackermann, Wind Power in Power System, 2nd Edition, England, John Wiley & Sons, Ltd, 2012.

3.

O. Anaya-lara, N. Jenkins, J. Ekanayake, P. Cartwright, and M. Hughes, Wind Energy Generation Modeling and Control, John Wiley & Sons, Ltd, 2009.

4.

J. B. Ekanayake, L. Holdsworth, and N. Jenkins, “Control of doubly fed induction generator wind turbine,” IET Power Eng., vol. 17, no. 1, 2003, pp. 28-32.

5.

J. Ekanayake and N. Jenkins, “Comparison of the response of doubly fed and fixed-speed induction generator wind turbines to changes in network frequency,” IEEE Transaction on Energy conversion, vol. 19, no. 4, 2004, pp. 800-802.

6.

J. Morren, S. Haan, W. L. Kling, and J. A. Ferreira, “Wind turbines emulating inertia and supporting primary frequency control,” IEEE Transaction on Power systems, vol. 21, no. 1, 2006, pp. 433-434.

7.

G. Ramtharan, J. B. Ekanayake, and N. Jenkins, “Frequency support from doubly fed induction generator wind turbines,” IET Renew. Power Gen., vol. 1, 2007, pp. 3-9.

8.

Z. S. Zhang, Y. Z. Sun, J. Lin, and G. J. Li, “Coordinated frequency regulation by doubly fed induction generator-based wind power plants,” IET Renew. Power Gener., vol. 6, no. 1, 2012, pp. 38-47.

9.

F. Koch, M. Gresch, F. Shewarega, I. Erlich, and U. Bachmann, “Consideration of wind farm wake effect in power system dynamic simulation,” in Proc. IEEE Power Tech. Conf., June 2005, pp. 1-7.