Research on Rotor Kinetic Energy Control of Wind Turbines Under Low-Frequency Condition in Yunnan Power Grid

doi:10.12204/j.issn.1000-7229.2021.10.012

Abstract

Abstract:

Secondary frequency drop that may be caused by rotor speed recovery process is a key issue that restricts the ability of wind turbines to provide upward adjustment after wind turbines provide frequency response. In this paper, a study on kinetic energy control of wind turbines in Yunnan Power Grid is carried out, and a method for setting kinetic energy control parameters of wind turbines is proposed. In the early stage of disturbance, integrated inertia control is used to quickly suppress the rate of frequency change and reduce frequency deviation; in the middle and later stages of disturbance, it is coordinated with conventional synchronous units such as thermal and hydropower or frequency limit controller to avoid the problem of secondary frequency drop and realize the optimization of the overall frequency dynamic process. Simulation research shows that increasing the virtual inertia control coefficient K_df is not conducive to improving the maximum frequency deviation, and will cause serious overshoot and reverse modulation after the frequency enters the dead zone of FLC; the droop conrol coeffircent K_pf is the key to improve the maximum frequency deviation and reduce the amount of action about FLC; the wind turbines operating under the maximum power point tracking almost have the same ability to improve the maximum deviation of the frequency when their K_df and K_pf are same.

Key words: frequency control, wind turbine, rotor kinetic energy control, parameter setting

CLC Number:

TM61

HE Tingyi, WANG Chenguang, LI Shengnan, CHEN Yiping, LI Chongtao, GAO Qin. Research on Rotor Kinetic Energy Control of Wind Turbines Under Low-Frequency Condition in Yunnan Power Grid[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(10): 110-118.

Figures/Tables 11

Fig.1 Simplified model of system frequency simulation

Fig.2 Frequency response model of hydropower unit

Fig.3 Frequency response model of thermal power unit

Fig.4 The model of FLC reverting under inverse frequency deviation

Fig.5 Model of a wind turbine

Fig.6 Curve of maximum power point tracking

Fig.7 Setting process of wind turbine parameters

Fig.8 Δ f m a x and |EDL| curves under different Kdf

Fig.9 f,Δ P W and |ΔPDL| curves under different Kdf at v=9 m/s

Fig.10 Δ f m a x and |EDL| curves under different Kpf

Fig.11 f and Δ P W curves under different v and Kpf

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