Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Adaptive Frequency Responsive Control for Wind Farm Considering Wake Interaction
Author:
Affiliation:

1.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China;2.Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;3.School of Electrical Engineering and Telecommunications, The University of New South Wales, Sidney, Australia

Fund Project:

This work was partially supported by Natural Science Foundation of China(No. 72071100), Guangdong Basic and Applied Basic Research Fund (No. 2019A1515111173), Department of Education of Guangdong Province, and Young Talent Program (No. 2018KQNCX223).

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    Abstract:

    With the increasing share of wind power, it is expected that wind turbines would provide frequency regulation ancillary service. However, the complex wake effect intensifies the difficulty in controlling wind turbines and evaluating the frequency regulation potential from the wind farm. We propose a novel frequency control scheme for doubly-fed induction generator (DFIG)-based wind turbines, in which the wake effect is considered. The proposed control scheme is developed by incorporating the virtual inertia control and primary frequency control in a holistic way. To facilitate frequency regulation in time-varying operation status, the control gains are adaptively adjusted according to wind turbine operation status in the proposed controller. Besides, different kinds of power reserve control approaches are explicitly investigated. Finally, extensive case studies are conducted and simulation results verify that the frequency behavior is significantly improved via the proposed control scheme.

    表 2 Table 2
    表 1 Table 1
    图1 Schematic diagram of DFIG-based WT.Fig.1
    图2 Jensen’s wake effect model.Fig.2
    图3 Thrust coefficient.Fig.3
    图4 Proposed coordinated frequency control scheme.Fig.4
    图5 Block diagram of virtual inertia control.Fig.5
    图6 Different deloading approaches for WTs.Fig.6
    图7 Block diagram of primary frequency control.Fig.7
    图8 Configuration of test system.Fig.8
    图9 Simulation results during under-frequency event. (a) System frequency. (b) Output power of WF.Fig.9
    图10 Simulation results during over-frequency event. (a) System frequency. (b) Output power of WF. (c) Rotor speed of DFIG for the first-row and second-row WTs. (d) Rotor speed of DFIG for the third-row and fourth-row WTs. (e) Pitch angle of DFIG for the first-row and second-row WTs. (f) Pitch angle of DFIG for the third-row and fourth-row WTs.Fig.10
    图11 Simulation results under time-varying wind speed condition. (a) System frequency. (b) System frequency without wake effect. (c) Output power of WF. (d) Output power of WF without wake effect. (e) Rotor speed of DFIG for the first-row and second-row WTs. (f) Rotor speed of DFIG for the third-row and fourth-row WTs. (g) Pitch angle of DFIG for the first-row and second-row WTs. (h) Pitch angle of DFIG for the third-row and fourth-row WTs.Fig.11
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History
  • Received:April 15,2020
  • Revised:
  • Adopted:
  • Online: September 28,2021
  • Published: