VSG Parameter Identification Based on Multi Innovation Stochastic Gradient Method in Time Domain

doi:10.11985/2022.01.011

Abstract

Abstract:

Aiming at the new energy grid-connected inverter controlled by virtual synchronous generator technology (VSG), a uniform model of VSG actual output inertia and damping is proposed to quantitatively evaluate the inertia and damping provided by VSG to the large power grid. Firstly, different VSG connection modeling methods are analyzed, and a unified VSG control model structure is established. Then, an identification method of VSG key parameters based on multi innovation stochastic gradient method suitable for time domain is proposed. The system power dynamic information is excited by command power step and according to the relationship between the parameters of VSG control model, the system output inertia and equivalent damping parameters are dynamically identified, and then the error of the identification model is analyzed. Finally, the effectiveness of the proposed method is proved by simulation and comparison.

Key words: Virtual synchronous generator, inertia, damping, parameter identification, multi innovation stochastic gradient method

CLC Number:

TM464

ZHU Jun, QU Yubo, LIU Penghui, GUO Xiangwei, DU Shaotong, YANG Ming. VSG Parameter Identification Based on Multi Innovation Stochastic Gradient Method in Time Domain[J]. Journal of Electrical Engineering, 2022, 17(1): 78-85.

Figures/Tables 11

References 17

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参数	数值
直流母线电压U_dc/V	700
电网线电压U_n/V	380
开关频率f/kHz	10
额定频率f_n/Hz	50
滤波电感L/mH	1.1
滤波电容C/μF	50

新息长度p	a	b	虚拟惯量J	阻尼系数D
2	3.23	41.36	21.55	139.47×100π
3	3.47	42.76	20.84	144.65×100π
5	3.52	43.67	20.41	143.86×100π

算法	a	b	J/误差(%)	D/误差(%)
MI-SG(p=5)	3.52	43.67	20.41/2.1	143.86×100π/1.1
递推二乘法	3.27	41.77	21.34/6.6	139.75×100π/1.8