Improved Controller of LCL-Type Grid-Connected Inverter System Based on Active-Damping

Tian, Peng; Li, Zetao; Hao, Zhenghang

doi:10.1109/icmic.2018.8529953

Cited by 1 publication

(1 citation statement)

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“…The system simulation parameters are shown in Table 1. It can be seen from reference [35] that when the controller parameters are the same, they also have similar performance. Therefore, in order to facilitate comparison, the QPIR controller and PR and QPR controllers are set to have similar parameters, that is, the QPIR controller parameters satisfy the following relationship:…”

Section: Case Analysismentioning

confidence: 99%

Improved PR Control Strategy for an LCL Three-Phase Grid-Connected Inverter Based on Active Damping

Zhang

Hao

et al. 2021

Applied Sciences

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Aiming at the problem of power coupling and complicated decoupling in the d-q coordinate system of a three-phase grid-connected inverter, a current closed-loop control strategy based on an improved QPIR (quasi-proportional integral resonant) controller in the α-β two-phase static coordinate system is proposed. Firstly, the mathematical model of an LCL three-phase grid-connected inverter is established, and its instantaneous power calculation equation is deduced. Secondly, the frequency method is applied to compare and analyze the proportional resonant, quasi-proportional resonant, and improved current controller, and the appropriate improved controller parameters are obtained according to the traditional proportional integral controller parameter design method and the weight coefficient. Finally, the improved controller is compared with the traditional controller in the simulation model of the LCL three-phase grid-connected inverter based on active damping. The results show that the proposed improved current control strategy has good dynamic response characteristics, can realize the non-static error control of grid-connected current, and realizes the decoupling control of active power and reactive power when the load jumps. At the same time, the results also prove the superiority of the proposed control strategy and verify its effectiveness.

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Section: Case Analysismentioning

confidence: 99%