Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Virtual Inertia Estimation Method of DFIG-based Wind Farm with Additional Frequency Control
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Affiliation:

Jiangsu Key Laboratory of New Energy Generation and Power Conversion, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Fund Project:

This work was supported in part by the National Science Foundation of China (No. 51877015) and the Science and Technology Foundation of State Grid Corporation of China (No. SGTYHT/19-JS-215).

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    Abstract:

    With the increasing penetration of wind power, using wind turbines to participate in the frequency regulation to support power system has become a clear consensus. To accurately quantify the inertia provided by the doubly-fed induction generator (DFIG) based wind farm, the frequency response model of DFIG with additional frequency control is established, and then by using Routh approximation, the explicit expression of the virtual moment of inertia is derived for the DFIG grid-connected system. To further enhance the availability of the expression, an estimation method is proposed based on the matrix pencil method and the least squares algorithm for estimating the virtual moment of inertia provided by the wind farm. Finally, numerical results tested by a DFIG grid-connected system and a modified IEEE 30-bus system verify the derived expression of the virtual moment of inertia and the proposed estimation method.

    图1 Block diagram of angular frequency dynamic in DFIG grid-connected system.Fig.1
    图2 Block diagram of system angular frequency dynamic in DFIG grid-connected system with additional frequency control.Fig.2
    图3 Simplified block diagram of angular frequency dynamic in DFIG grid-connected system with additional frequency control. (a) Original block diagram. (b) Simplified block diagram with effect of DFIG represented by virtual moment of inertia.Fig.3
    图4 Flow chart of estimation process based on least squares algorithm.Fig.4
    图5 Dynamic responses of DFIG grid-connected system with or without additional frequency control. (a) System angular frequency with DFIG removed. (b) System angular frequency. (c) Angular velocity of rotor. (d) Grid-connected power.Fig.5
    图7 Sampling data sequences of DFIG grid-connected system. (a) Wind speed. (b) System angular frequency. (c) Grid-connected power.Fig.7
    图9 Modified IEEE 30-bus system with a wind farm.Fig.9
    图10 Dynamic responses of modified IEEE 30-bus system with or without additional frequency control. (a) System angular frequency. (b) Grid-connected power of wind farm. (c) System angular frequency with load at each bus cut in half. (d) Grid-connected power of wind farm with load at each bus cut in half.Fig.10
    图11 Sampling data sequences of DFIG-based wind farm in total participation mode. (a) Wind speeds of three WTs. (b) System angular frequency. (c) Grid-connected power.Fig.11
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History
  • Received:December 28,2020
  • Revised:
  • Adopted:
  • Online: September 28,2021
  • Published: