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Adaptive Virtual Inertia Control of New Energy Based on LQR
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Hongqiang LI1, Guangming LU2, Lei ZHOU1, Yawei WEI2, Hanhua ZHANG1, Jing MA2
Electric Drive | 2024, 54(3) : 54 - 60
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Electric Drive | 2024, 54(3): 54-60
Adaptive Virtual Inertia Control of New Energy Based on LQR
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Hongqiang LI1, Guangming LU2, Lei ZHOU1, Yawei WEI2, Hanhua ZHANG1, Jing MA2
Affiliations
  • 1 State Grid Ningxia Electric Power Co.，Ltd.，Yinchuan 710049，Ningxia，China
  • 2 China Electric Power Research Institute Co.，Ltd.，Beijing 100192，China
Published: 2024-03-20 doi: 10.19457/j.1001-2095.dqcd24725
Outline
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In order to improve the inertia support ability of grid-connected converter of new energy based on DC capacitor energy virtual inertia control to the power system，an adaptive virtual inertia control method based on linear quadratic regulator （LQR） was proposed. On the basis of analyzing the dynamic characteristics of the virtual synchronous generator （VSG），the mathematical relationship between the inertia parameters and the system frequency response characteristics was obtained，and an adaptive inertia control model based on LQR was established. The optimal feedback matrix was found by LQR cost function to make the state variables approach zero quickly and meet the control requirements with the least input energy. The simulation results show that the method can make the new energy grid-connected converter optimize the allocation of limited DC capacitance energy according to the system frequency fluctuation，quickly damp the frequency change，improve the system frequency response characteristics，enhance the inertia support ability of the new energy grid-connected converter to the power system，and ensure the stability of the power system.

new energy  /  grid-connected converter  /  linear quadratic regulator （LQR）  /  virtual inertia
Hongqiang LI, Guangming LU, Lei ZHOU, Yawei WEI, Hanhua ZHANG, Jing MA. Adaptive Virtual Inertia Control of New Energy Based on LQR[J]. Electric Drive, 2024 , 54 (3) : 54 -60 . DOI: 10.19457/j.1001-2095.dqcd24725
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Year 2024 volume 54 Issue 3
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Article Info
doi: 10.19457/j.1001-2095.dqcd24725
  • Receive Date：2022-10-27
  • Online Date：2025-12-12
  • Published：2024-03-20
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History
  • Received：2022-10-27
  • Revised：2022-11-02
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    1 State Grid Ningxia Electric Power Co.，Ltd.，Yinchuan 710049，Ningxia，China
    2 China Electric Power Research Institute Co.，Ltd.，Beijing 100192，China
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