Variable parameter VSG control based on adaptive exponential function
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(1.Hunan Economy Institute Electric Power Design Co.,Ltd.,Changsha 410007, China ;2.State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute, Changsha 410029, China;3. Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410017, China )

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TM402

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    Abstract:

    In recent years, with the increasing electronization of the power grid, the overall inertia of the grid has decreased. As a result, the technology of virtual synchronous generator (VSG) has emerged and rapidly developed. The core idea is to mimic the electrical and mechanical characteristics of synchronous generators used in traditional power systems in order to enhance the rotational inertia of high?proportion distributed energy systems. However, the existing control strategies for VSG have fixed control parameters or simple continuous variations, which may lead to power oscillations in the system when subjected to small disturbances. In order to adjust the virtual inertia and damping coefficient more flexibly, a variable?parameter VSG adaptive control strategy based on piecewise exponential functions is proposed after a detailed analysis of VSG. The variation of virtual inertia and rotational damping with grid frequency follows an exponential function trajectory, aiming to reduce grid fluctuations. Additionally, when the disturbance rate is low, the parameter changes are small to avoid causing system oscillations. Finally, the parameters of the main circuit and the VSG control part are designed, and simulation results show that the strategy can effectively improve the stability of the inverter operation.

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王立娜,王逸超,谭丽平,徐志强,刘文军,刘浩田.基于自适应指数函数的变参数VSG控制[J].电力科学与技术学报英文版,2023,38(3):124-131. WANG Lina, WANG Yichao, TAN Liping, XU Zhiqiang, LIU Wenjun, LIU Haotian. Variable parameter VSG control based on adaptive exponential function[J]. Journal of Electric Power Science and Technology,2023,38(3):124-131.

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  • Received:
  • Revised:
  • Adopted:
  • Online: September 19,2023
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