Journal
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
Volume 10, Issue 2, Pages 2539-2546Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JESTPE.2021.3138934
Keywords
Gain stability criterion; gain tuning; grid-connected pulsewidth modulation (PWM) inverter; LCL filter; multiple resonant control (MRSC)
Categories
Funding
- National Nature Science Foundation of China [61673305]
Ask authors/readers for more resources
This article proposes a plug-in digital MRSC scheme for grid-connected converters, which provides a universal framework and simple design approach for various MRSC schemes. Experimental results demonstrate that the proposed scheme can achieve high-quality current generation with high accuracy, fast transient response, and good robustness.
Including generalized integrators for sinusoidal signals, multiple resonant control (MRSC) scheme which can accurately compensate selected sinusoidal signals, is widely used as a high-performance current control method for grid-connected converters. In this article, the plug-in digital plug-in MRSC scheme is proposed to provide a general framework for housing various MRSC schemes, which plugs the MRSC controller into a stable feedback control loop. It can take advantages of both controllers-the feedback controller provides fast response and good robustness, and the MRSC controller offers accurate compensation of the periodic signals. More critically, based on a new type of sinusoidal signal model, the sufficient stability criteria and the gain tuning rules are developed to offer a simple universal approach to the design of the digital plug-in MRSC schemes. An application case study on the digital plug-in MRSC of a 5-kVA three-phase four-wire grid-connected inverter with LCL filter is provided. Experimental results demonstrated that the proposed MRSC scheme can force the inverter to produce high-quality currents with high accuracy, fast transient response, and good robustness.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available