Research on Frequency Response Modeling and Frequency Modulation Parameters of the Power System Highly Penetrated by Wind Power

Junfeng Qi, Fei Tang, Jiarui Xie, Xinang Li, Xiaoqing Wei and Zhuo Liu
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Junfeng Qi: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Fei Tang: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Jiarui Xie: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xinang Li: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xiaoqing Wei: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Zhuo Liu: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

Sustainability, 2022, vol. 14, issue 13, 1-19

Abstract: Renewable energy units led by wind power participate in diversified control primary frequency modulation, making the frequency response modes and the setting of frequency modulation parameters more complex. This paper proposes a frequency response model of the power system which is highly penetrated by wind power based on the two mainstream control strategies of wind power that participate in primary frequency modulation. The model considers the influence of wind capture devices, maximum power point tracking (MPPT), and other complex control strategies on system frequency response. Based on this model, the calculation formulas of the maximum change rate of dynamic frequency, the lowest point of dynamic frequency, and the maximum steady-state frequency deviation of the system after fault disturbance are derived in the frequency domain. The influences of wind power permeability and two typical frequency response control strategies on system frequency stability are analyzed. On the one hand, it is found that the proposed model can fit the system frequency response better than the traditional system frequency response model. Beyond that, two control strategies are mainly aimed at the different frequency stability requirements. On the other hand, under the condition of meeting the system’s stability requirements, the paper calculates the control parameters of frequency response of the doubly-fed induction generator (DFIG). The time-domain simulation model of the improved IEEE three-machine nine-node system and IEEE 39-node system with high permeability of wind power are built. Through the different fault scenarios, the simulation results verify the effectiveness of the proposed model and the accuracy of control strategy parameter calculation.

Keywords: frequency response model; highly penetrated by wind power; virtual droop control; virtual inertia control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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