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Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control

Author

Listed:
  • Jun Deng

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China)

  • Jianbo Wang

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China)

  • Shupeng Li

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China)

  • Haijing Zhang

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China)

  • Shutao Peng

    (State Grid Shaanxi Electric Power Research Institute, Xi’an 710100, China)

  • Tong Wang

    (School of Electrical & Electronic Engineering, North China Electric Power University, Changping District, Beijing 102206, China)

Abstract

With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H 2 /H ∞ control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.

Suggested Citation

  • Jun Deng & Jianbo Wang & Shupeng Li & Haijing Zhang & Shutao Peng & Tong Wang, 2020. "Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control," Energies, MDPI, vol. 13(8), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:2037-:d:347627
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    Citations

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    Cited by:

    1. Zhishuai Hu & Yongfeng Ren & Qingtian Meng & Pingping Yun & Chenzhi Fang & Yu Pan, 2023. "Improvement of Frequency Support for a DFIG Using a Virtual Synchronous Generator Strategy at Large Power Angles," Energies, MDPI, vol. 16(2), pages 1-20, January.
    2. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    3. Vijay Mohale & Thanga Raj Chelliah, 2022. "Impact of Fixed/Variable Speed Hydro, Wind, and Photovoltaic on Sub-Synchronous Torsional Oscillation—A Review," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
    4. SungHoon Lim & Seung-Mook Baek & Jung-Wook Park, 2022. "Selection of Inertial and Power Curtailment Control Methods for Wind Power Plants to Enhance Frequency Stability," Energies, MDPI, vol. 15(7), pages 1-14, April.

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