Litcius/Paper detail

Analysis and Design of Multiple Resonant Current Control for Grid-Connected Converters

Chao Tang, Keliang Zhou, Yue Shu, Qingqing He, Qihong Chen

2021IEEE Journal of Emerging and Selected Topics in Power Electronics29 citationsDOI

Abstract

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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCL</i> 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.

Topics & Concepts

Control theory (sociology)Robustness (evolution)ConvertersIntegratorInverterDigital controlRepetitive controlComputer scienceGridTransient responseElectronic engineeringController (irrigation)Control systemEngineeringVoltageBandwidth (computing)MathematicsElectrical engineeringControl (management)BiologyGeometryAgronomyComputer networkGeneChemistryBiochemistryArtificial intelligenceMicrogrid Control and OptimizationHVDC Systems and Fault ProtectionIslanding Detection in Power Systems