Improved Passivity-Based Control Method of Grid-Connected PV Inverter in Weak Grids

Li, Guihua; Wenxiu, Wang; Zhu, Xingji; Wang, Wei

doi:10.23919/icems.2018.8549169

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…In practical applications, due to disturbances caused by the external environment, the conventional PBC controller may exhibit a steady-state error. In order to eliminate the steadystate error, many modified PBC methods were adopted, such as the disturbance observer [31], the proportional-integral (PI) regulator [18], [32] and the proportional-resonant (PR) regulator [33] etc. According to [35], it can be known that a PR regulator can better track a sinusoidal current reference than a PI regulator.…”

Section: A Eliminating the Steady State Errormentioning

confidence: 99%

An Optimized Parameter Design Method for Passivity-Based Control in a LCL-Filtered Grid-Connected Inverter

Chen

et al. 2020

IEEE Access

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Nowadays, the Passivity-Based Control (PBC) has been successfully applied to digitally controlled Grid-Connected Inverter (GCI) with LCL filter. As a nonlinear method, the PBC controller has strong robustness against the parameter drift of the LCL filter and the grid impedance, where the parameters of the PBC controller still need to be designed carefully to achieve a good control performance. The existing design methods are based on separating the PBC controller into three control loops. Therefore, the design process is cumbersome, especially for inexperienced engineers, due to the complex structure of the PBC controller. In this paper, an intelligent Particle Swarm Optimization (PSO) algorithm is utilized to simplify the parameters design of the PBC controller, where the difficulty of manual calculations is avoided and the parameters can be more easily and efficiently obtained using MATLAB in offline mode. Furthermore, a Kalman filter observer is adopted to estimate the state variables in the PBC controller, where only the grid-injected current needs to be sampled in the overall GCI system. Simulations and experiments are provided to verify the correctness and effectiveness of the proposed PBC controller design method. INDEX TERMS grid-connected inverter, Kalman filter, LCL filter, passivity-based control, particle swarm optimization.

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Section: A Eliminating the Steady State Errormentioning

confidence: 99%

An Optimized Parameter Design Method for Passivity-Based Control in a LCL-Filtered Grid-Connected Inverter

Chen

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

Improved Passivity-Based Control Method of Grid-Connected PV Inverter in Weak Grids

Cited by 1 publication

References 16 publications

An Optimized Parameter Design Method for Passivity-Based Control in a LCL-Filtered Grid-Connected Inverter

An Optimized Parameter Design Method for Passivity-Based Control in a LCL-Filtered Grid-Connected Inverter

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