Multi-Machine Cooperative Control Strategy of Wind Farm Participating in Power Grid Frequency Modulation

doi:10.12096/j.2096-4528.pgt.23068

Abstract

Abstract:

Objectives Considering the difference of primary frequency regulation ability of wind turbines under different wind conditions in wind farms, the evaluation method of frequency regulation capability of wind turbines was optimized on the basis of sag control and inertia control strategy. Methods An improved multi-unit frequency modulation reference power cooperative control strategy was proposed. Results The introduction of multi-unit cooperative control method can effectively improve the distribution of frequency modulation reference power among units, thus effectively adjust the degree of each unit participating in the primary frequency regulation of the system. An improved cooperative control strategy was introduced on the basis of inertia control and sag control. According to the operation state of the unit under the actual wind condition, the reference power of the unit which can effectively participate in the primary frequency modulation was evaluated. The introduction of frequency modulation capability coefficient can realize the energy distribution of the reference value of frequency modulation power among units. Conclusions The cooperative control strategy can effectively protect the speed of wind turbine and improve the frequency response of power grid.

Key words: wind farm, primary frequency modulation, cooperative control, integrated control, speed protection

CLC Number:

TK 81

Xiaolian ZHANG, Achuan SUN, Sipeng HAO, Leyan XU, Qichuan WU. Multi-Machine Cooperative Control Strategy of Wind Farm Participating in Power Grid Frequency Modulation[J]. Power Generation Technology, 2024, 45(3): 448-457.

Figures/Tables 13

Fig. 1 Model of wind power participating in primary frequency modulation

Fig. 2 First order frequency response model of power grid

Fig. 3 Protection mechanism of improved strategy for wind turbine speed

Fig. 4 Multi-wind turbine collaborative control block diagram

Tab. 1 Wind turbine model parameters

系统参数	数值
叶轮半径/m	20
切入(额定)风速/(m/s)	3(12)
叶轮额定转速/(rad/s)	3.457
转动惯量/(kg∙m²)	5.492×10⁵
最佳叶尖速比	5.8
最大风能利用系数	0.460 3
额定功率/MW	0.6

Fig. 5 Turbulent wind speed of wind farm operations for each unit

Fig. 6 Frequency modulation capability coefficient before and after improvement

Fig. 7 Frequency response before and after constant wind speed improvement

Fig. 8 Frequency response before and after turbulent wind speed improvement

Tab. 2 Comparison of frequency response improvement of different control methods under the constant wind speed

控制策略	$f m i n$	$Δ f$
改进协同控制策略	49.811	0.189
传统调频控制策略	49.794	0.206

Tab. 2 Comparison of frequency response improvement of different control methods under the constant wind speed

控制策略	$f m i n$	$Δ f$
改进协同控制策略	49.811	0.189
传统调频控制策略	49.794	0.206

Tab. 3 Maximum change in speed under the load fluctuation of 10%

风速/(m/s)	转速初值/pu		转速最低值/pu		转速变化量/pu
风速/(m/s)	改进策略	传统策略	改进策略	传统策略	改进策略	传统策略
9	2.621	2.621	2.609	2.603	0.125 0	0.018 5
8	2.330	2.330	2.320	2.308	0.010 0	0.022 2
7	2.039	2.039	2.033	2.011	0.005 8	0.027 5
6	1.747	1.747	1.746	1.713	0.001 0	0.034 3

Fig. 9 Power compensation of each wind turbine with the constant wind speed

Fig. 10 Power compensation of each typhoon generator set for turbulent wind speed

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