Frequency Regulation Strategy for DFIG Combining Over-speed Control and Adaptive Virtual Inertia

Lao, Huanjing; Zhang, Li; Zhao, Tong; Zou, Liang

doi:10.1109/isgt-asia.2019.8881628

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…To optimize the virtual inertia control effect, researchers have carried out extensive research. In the reference (Lao et al, 2019), the overspeed control and inertia control are combined, and the inertia is adaptively adjusted by constructing the relationship between the frequency and the inertia, thereby the frequency robustness of the system is improved. The principle of the coordinated configuration of virtual inertia and damping coefficient is given in references (Du et al, 2019;Zhang et al, 2020), but the optimal response time and overshoot cannot be accurately obtained.…”

Section: Inertia Optimization Control and Transient Stability Analysi...mentioning

confidence: 99%

Rising Stars in Energy Research: 2022

Li¹,

Dai²,

Sark³

et al. 2023

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Inertia Optimization Control and Transient Stability Analysi...mentioning

confidence: 99%

Rising Stars in Energy Research: 2022

Li¹,

Dai²,

Sark³

et al. 2023

Frontiers Research Topics

View full text Add to dashboard Cite

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Section: Introductionmentioning

confidence: 99%

Inertia Optimization Control and Transient Stability Analysis of Wind Power Grid-Connected System

et al. 2022

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The virtual inertia control effectively makes up for the insufficient inertia caused by the high penetration wind power grid connection. However, it has an impact on the mechanical part of the wind turbine and greatly increases the difficulty of the dynamic stability analysis of the system, resulting in limited engineering practicability. Therefore, the state equation of the wind power grid-connected system is established in this paper, and the influence of virtual inertia control on wind turbine shafting oscillation is analyzed based on the small-signal theory. Secondly, the nonlinear extended disturbance observer is designed as the compensation signal of inertia control to improve its dynamic stability supportability. Based on the integral manifold method, the shafting model of the wind turbine is reduced, and the transient energy function of shafting is established, which provided the basis for the design of the shafting stability controller. Finally, a grid-connected wind power system with high permeability is installed, and the results demonstrate that under the proposed control strategy, the swing stability of power angle is significantly improved, and the wind turbine shafting oscillation is suppressed.

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“…Hence, a VSG control algorithm with adaptive virtual inertia has been proposed in [9][10][11], taking not only the output power angle curve and the physiological significance of synchronous generator rotor inertia, but also the deviation and rate of change of angular velocity into consideration, and the fluctuation of system frequency can be adjusted immediately and suppressed effectively when the system is exposed to load disturbance. In [12,13], for doubly-fed wind power systems, the variation range of the virtual inertia control parameters of the wind turbine was rectified based on the relationship between the differential coefficients of the wind turbine auxiliary inertia control and the equivalent inertia constant of the wind turbine. The anti-interference capability and the dynamic stability of the system in frequency were improved by constructing the correlation between the rate of change of frequency and the virtual inertia.…”

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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Frequency Regulation Strategy for DFIG Combining Over-speed Control and Adaptive Virtual Inertia

Cited by 7 publications

References 3 publications

Rising Stars in Energy Research: 2022

Rising Stars in Energy Research: 2022

Inertia Optimization Control and Transient Stability Analysis of Wind Power Grid-Connected System

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

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