Research on Adaptive VSG Control Strategy Based on Inertia and Damping

Ban, Guobang; Xu, Yutao; Guo, Dan; Wu, Zhou; Zheng, Huajun; Yuan, Xufeng

doi:10.1109/ispec53008.2021.9735506

Cited by 7 publications

(7 citation statements)

References 5 publications

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“…The maximum virtual inertia J max is relevant to the instantaneous power capacity limitation of the inverter [16], and the minimum virtual inertia J min is required to satisfy the minimum frequency stability requirement. Therefore, the upper and the lower limits of virtual inertia can be designed as [16][17][18]: (6) where PO(J max ) represents the VSG output power overshoot with J max caused by a step disturbance in ∆ω. P max represents the instantaneous power capacity limitation of the inverter, and P * represents the rated power.…”

Section: Proposed Arctan-function-based Aidc Control Methodsmentioning

confidence: 99%

“…For example, virtual inertia can be adjusted within a certain range according to the real-time status of system operation, which provides more possibilities for dynamic performance optimization and frequency stability enhancement. This flexibility allows for frequency stability improvement through techniques such as self-adaptive inertia [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Recently, the design ideas and principles of adaptive inertia control have been rapidly discussed.…”

Section: Introductionmentioning

confidence: 99%

“…However, only two values of virtual inertia can be adjusted in [12], which can be viewed as a bang-bang virtual inertia control. To further develop this technology, more finely detailed adaptive virtual inertia algorithms were studied in [13][14][15][16][17][18][19][20][21][22][23][24], and the design for adaptive virtual damping is also considered to realize a better dynamic performance. These kinds of adaptive virtual inertia methods have been gradually applied in Energy Storage Systems [25], multi-area microgrids [23,24], MMC-MTDC transmission systems [26], and VSC-HVDC transmission systems [27,28].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, the virtual damping coefficient is designed to increase and enlarge the positive virtual damping effect during the transient process. Compared with the studies in [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], the benefits of adaptive virtual inertia and virtual damping on transient synchronization stability is fully discussed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Inertia and Damping Coordination (AIDC) Control for Grid-Forming VSG to Improve Transient Stability

Wang

Zhou

et al. 2023

Electronics

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Different from the conventional synchronous generator, the virtual inertia and damping control parameters for the inverter-based virtual synchronous generator (VSG) provide more flexibility for stable operation and dynamic performance optimization. However, the operation control principle is still unclear regarding how to coordinate virtual inertia and damping considering both frequency stability and transient synchronization stability. In this paper, an Adaptive Inertia and Damping Coordination (AIDC) control strategy is proposed for grid-forming VSGs to improve transient stability. The proposed AIDC strategy adaptively adjusts the virtual inertia and damping coefficients based on real-time conditions of operation frequency deviation and its rate of change of frequency (RoCoF). The virtual inertia is designed to dynamically increase in the accelerated area and decrease in the decelerated are, and the virtual damping coefficient is designed to increase and enlarge the positive virtual damping effect during the whole accelerated/decelerated transient process. In addition, the proposed AIDC strategy is realized through the practical arctan-function control method with limited boundaries, which can assist engineers. The effectiveness of the proposed AIDC strategy is validated through hardware-in-the-loop experiments.

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Section: Proposed Arctan-function-based Aidc Control Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Inertia and Damping Coordination (AIDC) Control for Grid-Forming VSG to Improve Transient Stability

Wang

Zhou

et al. 2023

Electronics

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“…In [16,17], to ensure the stability of the parameters in adaptive tuning by limiting the system to an underdamped condition, the functions related to D and J were determined under the condition of taking into account the damping ratio of the system and adjusting J according to the rate of change of the frequency. In [18][19][20][21], the trends of J and D at various stages of power regulation are taken into account. That is, the damping coefficient D is adjusted according to the VSG's angular velocity deviation to reduce the system's frequency deviation, and the inertia J is changed according to the rate of change of the angular velocity deviation, improving the system's dynamic performance without compromising the stability of the system.…”

Section: Introductionmentioning

confidence: 99%

A Dual Adaptive Inertia and Damping Control Strategy of ANFIS-VSG for Direct-drive Permanent Magnet Synchronous Wind Generator Systems

Zhang¹,

Chen²,

Deng³

et al. 2022

PIER C

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In the conventional virtual synchronous generator (VSG) dual adaptive inertia and damping control schemes, the inertia J and damping D exhibit different variation patterns in different time intervals and are mutually constrained. To address this problem, an adaptive neural-fuzzy network inference system (ANFIS)-based dual adaptive inertia and damping VSG control technique applied to the direct-drive permanent magnet synchronous wind generator (D-PMSWG) system is proposed in this paper. In ANFIS-VSG, the controller is designed on the basis of the ANFIS control principle, and the input and output data are collected by PID control. The Sugeno-type ANFIS controller model is adopted to train the fuzzy inference system (FIS) online. Moreover, the virtual inertia and damping coefficients can be dynamically adjusted in real time according to the frequency variation without taking the different variations and mutual constraints of inertia J and damping D in different intervals into consideration, so the design difficulty and calculation process can be simplified, and the accuracy of the proposed control algorithm is enhanced through training. Furthermore, when the system is subject to load changes, integrating into the grid from an islanded state, and when the output power sets value steps, the power-frequency characteristics and the anti-interference capability of the three-phase output current of VSG can be improved. Finally, the proposed control strategy is simulated and analyzed based on Matlab/Simulink simulation software, which proves the correctness and effectiveness of the proposed control algorithm.

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An Adaptive Control Strategy for VSG Parameters With Perturbation Segmentation

Wang,

Cen,

et al. 2024

Circuit Theory & Apps

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The virtual synchronous generator (VSG)–based photovoltaic system is affected by the external environment and sudden changes in load, which can lead to deteriorations in dynamic characteristics of power and frequency and even system instability. To ensure the dynamic performance and stability of the system, it is necessary to adjust the inertia‐damping parameters in time. This paper proposes a new cooperative adaptive control strategy for VSG inertia and damping parameters by analyzing the output angular frequency change and angular frequency deviation during the dynamic process of the system. Segmental adaptation is based on the size of the perturbation. The parameter selection rule is improved to increase the sensitivity of the parameter adjustment, and the improved sign function is used to prevent the parameter overmodulation problem. Finally, the proposed strategy is verified to effectively improve the system response speed and antidisturbance ability by comparing it with the traditional strategy on the MATLAB/Simulink simulation platform.

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Research on Adaptive VSG Control Strategy Based on Inertia and Damping

Cited by 7 publications

References 5 publications

Adaptive Inertia and Damping Coordination (AIDC) Control for Grid-Forming VSG to Improve Transient Stability

Adaptive Inertia and Damping Coordination (AIDC) Control for Grid-Forming VSG to Improve Transient Stability

A Dual Adaptive Inertia and Damping Control Strategy of ANFIS-VSG for Direct-drive Permanent Magnet Synchronous Wind Generator Systems

An Adaptive Control Strategy for VSG Parameters With Perturbation Segmentation

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