LAPSE:2023.33646
Published Article
LAPSE:2023.33646
A Frequency Adaptive Scheme Based on Newton Structure of PRRC for LCL-Type Inverter Connected with Weak Grid
Chengbi Zeng, Sudan Li, Hanwen Wang, Hong Miao
April 21, 2023
Repetitive control (RC) is gradually used in inverters tied with weak grid. To achieve the zero steady-state error tracking of inverter current and compensate the harmonic distortion caused by frequency fluctuation, a frequency adaptive (FA) control scheme for LCL-type inverter connected with weak grid is proposed. This scheme adopts a proportional resonance (PR) controller in parallel with RC (PRRC) to overcome the disadvantages caused by RC inherent one-cycle time delay. A fractional delay (FD) filter based on the Newton structure is proposed to approximate the fraction item of fs/f, where fs and f are sample frequency and grid frequency, respectively. The structure of the proposed FD filter is relatively simple; moreover, coefficients of the filter maintain constant so as not to need online tuning even when grid frequency fluctuates, which decreases the computational burden considerably. The feasibility and effectiveness of the proposed FA control scheme, named as Newton-FAPRRC, are all verified by the simulation and experimental results.
Keywords
fractional delay (FD) filter, frequency adaptive (FA), Newton structure, repetitive control (RC), weak grid
Suggested Citation
Zeng C, Li S, Wang H, Miao H. A Frequency Adaptive Scheme Based on Newton Structure of PRRC for LCL-Type Inverter Connected with Weak Grid. (2023). LAPSE:2023.33646
Author Affiliations
Zeng C: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Li S: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Wang H: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Miao H: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Journal Name
Energies
Volume
14
Issue
14
First Page
4225
Year
2021
Publication Date
2021-07-13
Published Version
ISSN
1996-1073
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PII: en14144225, Publication Type: Journal Article
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doi:10.3390/en14144225
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