Comparative Stability Analysis and Improvement of Grid-Following Converters Using Novel Interpretation of Linear Time-Periodic Theory

Yang, Huoming; Eggers, Malte; Teske, Peter; Dieckerhoff, Sibylle

doi:10.1109/jestpe.2022.3194411

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…Intricate application scenarios and conditions have compelled researchers to investigate and enhance the control technology. The main control methods for inverters are proportional integral (PI) control [3][4][5], proportional resonant (PR) control [6,7], fuzzy control (FC) [8,9], sliding mode control (SMC) [10,11], neural network control (NNC) [12][13][14] and model predictive control (MPC) [15]. MPC is a frequently used control technique in industrial process control.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

et al. 2023

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With the development of power switches and processor performance in recent years, the control frequency of inverters has been significantly improved. However, limited by technology and price, the sensor sampling frequency in large-scale industrial applications is much lower than the inverter control frequency that can be realized. This frequency mismatch limits the performance improvement of the inverter. In this article, the current and voltage at the non-sampling time are reconstructed using the current prediction control principle and the input observer theory, allowing a single-phase inverter to implement multi-sampling rate control with a low sampling frequency and high control frequency. In addition, an improved adaptive controller is designed to solve the effect of incorrect model parameters, which realizes adaptive control when the sampling frequency and control frequency are mismatched. Finally, the effectiveness of the method is verified through a simulation and experiments. The proposed method can solve the problem of high-speed switching for inverters under low-sampling-frequency conditions, improving the inverter’s adaptive performance and robustness.

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Section: Introductionmentioning

confidence: 99%

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

et al. 2023

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“…However, the second-order generalized integrator (SOGI) of DSOGI-PLL cannot attenuate the low-frequency signal sufficiently, which can lead to low-frequency oscillations. Accurate small-signal models with frequency-adaptive DSOGI-PLL have been developed for DSOGI-PLL as well as PR current-controlled inverters [28]. However, studies on the stability of the inverter system under unbalanced grids, where DSOGI-PLL is most commonly used, are still lacking.…”

Section: Introductionmentioning

confidence: 99%

Impedance-Based Stability Analysis of Grid-Connected Inverters under the Unbalanced Grid Condition

Shi,

Yang,

Yang

2023

Applied Sciences

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As a common interface circuit for renewable energy integrated into the power grid, the inverter is prone to work under a three-phase unbalanced weak grid. In this paper, the instability of grid-connected inverters under the unbalanced grid condition is investigated. First, a dual second-order generalized integrator phase-locked loop (DSOGI-PLL)-based inverter under balanced and unbalanced conditions is modeled. A fourth-order impedance model is established to describe its impedance characteristics under the unbalanced grid condition. To analyze this multi-input multi-output system, a simplified stability analysis method based on the generalized Nyquist stability criterion and matrix theory is proposed. Then, the influences of circuit and control parameters on the stability of the grid-connected inverter system under the unbalanced grid condition are investigated. Finally, the accuracy of the derived frequency-coupled impedance model is verified via simulations, and the effectiveness of the proposed simplified stability analysis method on the system stability analysis is verified via both simulations and hardware experiments.

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Linear Time-Periodic theory-based novel stability analysis method for voltage-source converter under unbalanced grid conditions

Gu,

Ji,

et al. 2024

International Journal of Electrical Power & Energy Systems

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Comparative Stability Analysis and Improvement of Grid-Following Converters Using Novel Interpretation of Linear Time-Periodic Theory

Cited by 6 publications

References 23 publications

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

Impedance-Based Stability Analysis of Grid-Connected Inverters under the Unbalanced Grid Condition

Linear Time-Periodic theory-based novel stability analysis method for voltage-source converter under unbalanced grid conditions

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