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http://dx.doi.org/10.5370/JEET.2015.10.3.1363

Dynamic Droop-based Inertial Control of a Wind Power Plant  

Hwang, Min (Dept. of Electrical Engineering and WeGAT Research Center, Chonbuk National University)
Chun, Yeong-Han (Dept. of Electrical Engineering, Hongik University)
Park, Jung-Wook (School of Electrical and Electronic Engineering, Yonsei University)
Kang, Yong Cheol (Dept. of Electrical Engineering, WeGAT Research Center, and Smart Grid Research Center, Chonbuk National University)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.3, 2015 , pp. 1363-1369 More about this Journal
Abstract
The frequency of a power system should be maintained within the allowed limits for stable operation. When a disturbance such as generator tripping occurs in a power system, the frequency is recovered to the nominal value through the inertial, primary, and secondary responses of the operating synchronous generators (SGs). However, for a power system with high wind penetration, the system inertia will decrease significantly because wind generators (WGs) are operating decoupled from the power system. This paper proposes a dynamic droop-based inertial control for a WG. The proposed inertial control determines the dynamic droop depending on the rate of change of frequency (ROCOF). At the initial period of a disturbance, where the ROCOF is large, the droop is set to be small to release a large amount of the kinetic energy (KE) and thus the frequency nadir can be increased significantly. However, as times goes on, the ROCOF will decrease and thus the droop is set to be large to prevent over-deceleration of the rotor speed of a WG. The performance of the proposed inertial control was investigated in a model system, which includes a 200 MW wind power plant (WPP) and five SGs using an EMTP-RV simulator. The test results indicate that the proposed scheme improves the frequency nadir significantly by releasing a large amount of the KE during the initial period of a disturbance.
Keywords
Wind power plant control; Inertial control; Rate of change of frequency; Droop control;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 T. Ackermann, Wind Power in Power System, 2nd Edition, England, John Wiley & Sons, Ltd, 2012.
2 Global wind energy outlook 2012, Global Wind Energy Council, Nov. 2012.
3 The European Wind Energy Association, EU Energy policy to 2050, EWEA, 2011.
4 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.   DOI   ScienceOn
5 O. Anaya-lara, N. Jenkins, J. Ekanayake, P. Cartwright, and M. Hughes, Wind Energy Generation Modeling and Control, John Wiley & Sons, Ltd, 2009.
6 S.-E. Lee, D.-J. Won, and I.-Y. Chung, “Operation scheme for a wind farm to mitigate output power variation,” Journal of Electrical Engineering & Technology, vol. 7, no. 6, 2012, pp. 869-875.   DOI   ScienceOn
7 J. Ekanayake, L. Holdsworth, and N. Jenkins, “Control of DFIG wind turbines” IEEE Power Engineer, vol. 17, no. 1, 2003, pp. 28-32.
8 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.   DOI   ScienceOn
9 J. Lee, J. Kim, Y.-H. Kim, Y.-H. Chun, S.-H. Lee, J.-K. Seok, and Y. C. Kang, “Rotor speed-based droop of a wind generator in a wind power plant for the virtual inertial control,” Journal of Electrical Engineering & Technology, vol. 8, no. 5, 2013, pp. 742-749.
10 R. L. Josephine and S. Suja, “Estimating PMSG wind turbines by inertia and droop control schemes with intelligent fuzzy controller in Indian development,” Journal of Electrical Engineering & Technology, vol. 9, no. 4, 2014, pp. 1196-1201.   DOI   ScienceOn
11 H. Lee, J. Kim, D. Hur, and Y. C. Kang, “Inertial control of a DFIG-based wind power plant using the maximum rate of change of frequency and the frequency deviation,” Journal of Electrical Engineering & Technology, vol. 10, no. 2, 2015, pp. 496-503.   DOI   ScienceOn
12 I.D. Margaris, S.A. Papathanassiou, N.D. Hatziargyriou, A. D. Hansen, and P. Sørensen, “Frequency control in autonomous power systems with high wind power penetration,” IEEE Transaction on Sustainable Energy, vol. 3, no. 2, 2012, pp. 189-199.   DOI   ScienceOn
13 M. Hwang, H. Lee, Y.-H. Chun, and Y. C. Kang, “Dynamic droop-based inertial control of a wind power plant,” 20th ICEE, 2014, pp. 210-212.
14 B. Shen, B. Mwinyiwiwa, Y. Zhang, and B. Ooi, “Sensorless Maximum Power Point Tracking of Wind by DFIG Using Rotor Position Phase Lock Loop,” IEEE Transaction on Power Electronics, vol. 24, no. 4, 2009, pp. 942-951.   DOI   ScienceOn