Research on Control Strategy of Grid-connected Brushless Doubly-fed Wind Power System Based on Virtual Synchronous Generator Control

Liang, Shuai; Shi, Long

doi:10.30941/cestems.2022.00052

Cited by 21 publications

(3 citation statements)

References 24 publications

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“…Figure 1 shows the basic principle topology of the VSG, which consists of two parts: a power control loop and a voltage and current control loop (Qu et al, 2021;Sun et al, 2023). After generating the reference of As in Liang et al (2022), by ignoring the effect of the filtering capacitor C, the relationship between the midpoint voltages of the bridge arm, the terminal voltage, and the inductance current of the VSG is represented as in Eq. 1…”

Section: Overall Control Structure Of Vsgmentioning

confidence: 99%

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Liu,

Jiang,

et al. 2024

Front. Energy Res.

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A virtual synchronous generator (VSG) strategy can introduce the rotational inertia and damping characteristics of the synchronous generator to the static inverter, e.g., PV, wind generation, and ESS, which are used to enhance the system frequency support characteristics of the micro-grid. However, under various operations of the VSG, the inertia and damping support capabilities are different, and the conventional VSG strategy with a fixed control coefficient sacrifices a certain degree of dynamic regulation performance with less robustness. This research proposes an improved VSG strategy with adaptive inertia and damping coefficients to increase the flexibility of VSG. To this end, a mathematical model is first established to analyze the impact of various parameters on the characteristics of VSG, and then the root trajectory is used to explore the impacts of various rotational inertia and damping coefficients on the stability of the VSG system. Second, an improved control strategy with adaptive inertia and damping coefficients is proposed based on the characteristics of the second-order system and the system frequency deviations. Finally, a simulation system with the VSG is constructed based on MATLAB/Simulink. The effectiveness of the proposed control strategy is verified by comparing the simulation results to the conventional control strategy with the fixed control coefficients under over-frequency and under-frequency disturbances.

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Section: Overall Control Structure Of Vsgmentioning

confidence: 99%

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Liu,

Jiang,

et al. 2024

Front. Energy Res.

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“…This can result in dynamic interactions between DFIGs and the AC grid, leading to resonance incidents that affect the safe and stable operation of wind power systems [11,12]. Furthermore, the use of VSG control complicates the mechanism of subsynchronous oscillation in wind power systems [13]. Practical engineering observations indicate that the stable operational characteristics of DFIGs are influenced by the turbine control parameters and the level of series compensation [14,15].…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Calculating the Parameter Selection Area of a Doubly-Fed Induction Generator Based on the Guardian Map Method

Wang,

Chen,

Jia

et al. 2024

Mathematics

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Large-scale wind farms incorporating doubly-fed induction generators (DFIGs) are considered a promising direction for modern energy supply systems due to their role in reducing dependence on fossil energy sources. However, the dynamic interactions between DFIGs and AC grids sometimes lead to sub-synchronous oscillation (SSO) that threatens the safe and stable operation of wind power systems. Therefore, it is essential to develop a mathematical model and design an algorithm to quantitatively design the control parameters. Such algorithms are helpful in preventing or mitigating system stability problems coming from wind power connected to the grid and reducing damage to power equipment. The traditional state-space model is mainly established to determine the stable operating point and analyze the influence of parameters on the system operating mode. However, this method does not provide the selection area for the system parameters. To address this shortcoming, this paper introduces a modular state-space model for DFIGs containing series compensation lines and proposes an algorithm for calculating the parameter selection area based on the Guardian map method. First, a detailed modular state-space model based on the virtual synchronous generator (VSG) control is established. The modular model helps to reflect the relationship between state variables and focuses on describing the operating state of DFIGs in wind farms. Second, this paper focuses on the influence of VSG control parameters and compensation capacitance on SSO. It aims to clarify the role of the series compensation level and control parameters on SSO based on VSG control. Then, an algorithm for the parameter selection area based on the Guardian map is proposed and the area of the VSG-controlled DFIG is obtained. Finally, the accuracy and validity of the algorithm are verified by time domain simulation in MATLAB/Simulink and HIL experiment.

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“…Proposed in Liang et al (2023) is a VSG control strategy for quasi-Z-source inverters for optical storage microgrids, which effectively enhances the frequency and voltage self-regulation capability of the system. In Liang et al (2022), VSG control is proposed to replace the conventional power control of grid-connected inverters in AC microgrids for brushless doubly-fed wind turbines, which solves the problem of lack of "inertia" and grid-supporting capability in AC microgrids. When the microgrid system is faced with environmental changes or disturbances, the existing constant parameter VSG control can no longer meet the performance requirements of inertia and damping, which may even affect the stable operation of the system in serious cases (Jain et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Power stability control of wind-PV-battery AC microgrid based on two-parameters fuzzy VSG

Zhou,

Wang,

et al. 2023

Front. Energy Res.

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Virtual synchronous generator (VSG) control addresses the issue of decreasing microgrid standby inertia caused by the rise in wind turbines and photovoltaic (PV) penetration. However, various types of perturbations occur frequently making the traditional constant parameter VSG control unable to meet the system performance requirements, and thus a two-parameters fuzzy VSG control is proposed to ensure that microgrid inertia and damping. Firstly, the device-level control of each generation unit in the microgrid is designed based on the wind-PV-battery alternating current (AC) microgrid architecture. Secondly, fuzzy VSG control uses fuzzy rules written in plain language to represent the relationship between the main VSG factors and the power and frequency. Then, the influence of virtual inertia and damping coefficient on the dynamic performance of the system is analyzed through the theory of small-signal model, and a reasonable variation range of VSG parameters are given. Finally, the simulation model of wind-PV-battery AC microgrid is built in MATLAB/Simulink, and compared with other improved VSG control strategies, the fuzzy VSG control proposed in this paper has better dynamic performance and safety stability. This research emphasizes the practicality and importance of utilizing fuzzy control to adjust VSG techniques for developing microgrid configurations incorporating more renewable energy sources to guarantee the reliability and efficiency of microgrid.

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Research on Control Strategy of Grid-connected Brushless Doubly-fed Wind Power System Based on Virtual Synchronous Generator Control

Cited by 21 publications

References 24 publications

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

An Algorithm for Calculating the Parameter Selection Area of a Doubly-Fed Induction Generator Based on the Guardian Map Method

Power stability control of wind-PV-battery AC microgrid based on two-parameters fuzzy VSG

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