Stability Analysis of LCL Grid-Connected Inverter Based on Neural Network

doi:10.16183/j.cnki.jsjtu.2023.653

Abstract

Abstract:

The parameter uncertainty of LCL type grid-connected inverter can significantly affect the power quality of renewable energy, making it essential to analyze the stability of the inverter under the parameter inception. To solve these problems, this paper establishes a state space model of LCL type single-phase grid-connected inverter and proposes a neural network modeling method based on the parameter model. Through the parameter characterization, a training dataset based on the parameter distribution is obtained. This dataset is then trained in the neural network to produce the stability discrimination results. Finally, the effectiveness of the proposed method is verified by MATLAB/Simulink simulation and the experimental platform.

Key words: LCL type single-phase grid-connected inverter, stability analysis, neural network, back propagation, binary classification

CLC Number:

TM464

HAN Hualing, JIA Yichao, MA Zihan, DENG Jun, HUANG Meng. Stability Analysis of LCL Grid-Connected Inverter Based on Neural Network[J]. Journal of Shanghai Jiao Tong University, 2025, 59(12): 1805-1814.

Figures/Tables 11

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C/μF	L₁/mH	L₂/mH	特征值实部	期望输出
11.903 61	1.1	0.44	83.803 14	1
1.058 43	1.1	0.44	-52.298 20	0
11.293 47	1.1	0.44	25.883 93	1
11	1.066 56	0.44	-7.099 73	0
11	0.979 05	0.44	-12.863 66	0
11	0.992 98	0.44	-12.863 66	0
11	1.1	0.393 33	-8.982 97	0
11	1.1	0.414 27	-7.097 11	0
11	1.1	0.406 35	-7.799 62	0

系统参数	标称值
系统容量, S_inv/W	3 000
U_dc/V	400
U_g/V	220
直流电容, C_dc/mF	1
L₂/mH	0.2
L₁/mH	1
C/μF	10
R_g/Ω	0.1
L_g/mH	0.2
K_c	0.1
K_p/K_r	0.11/11.0

固定参数值	变化参数 C/μF	神经网络二分类输出值	是否稳定	固定参数值	变化参数 L₁/mH	神经网络二分类输出值	是否稳定	固定参数值	变化参数 L₂/mH	神经网络二分类输出值	是否稳定
L₁=1.1 mH L₂=0.44 mH	8	0.059 6	是	C=11 μF L₂=0.44 mH	0.8	0.046 8	是	C=11 μF L₁=1.1 mH	0.2	0.048 4	是
	9	0.041 3	是		0.9	0.051 0	是		0.3	0.046 6	是
	10	0.043 8	是		1.0	0.049 9	是		0.4	0.044 0	是
	11	0.042 4	是		1.1	0.063 4	是		0.5	0.042 2	是
	12	0.962 0	否		1.2	0.955 4	否		0.6	0.962 0	否

固定参数	变化参数	神经网络二分类输出值	是否稳定
C=9.902 μF	L₂=0.505 mH	0.042 436	是
L₁=1.02 mH	L₂=0.473 mH	0.962 769	否
L₁=1.02 mH	C=8.0 μF	0.044 810	是
L₂=0.26 mH	C=10.0 μF	0.961 398	否