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Model Predictive Control of Electric Spring for Voltage Regulation and Harmonics Suppression

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  • Yun Zou
  • Yinlong Hu
  • Sifan Cao

Abstract

This paper presents a model predictive control (MPC) strategy for electric spring (ES) to address the power quality problems, especially voltage regulation and harmonic suppression, which are more acute for a growing proportion of renewable energy generation to the grid. A Kalman filter is used to estimate the random variation of the supply voltage and extract the fundamental and harmonic components of the supply voltage, respectively. In this way, the supply voltage, which is treated as an external disturbance for the plant, can be established in the state-space model form. Such processing brings great convenience to the application of MPC and also lays a foundation for MPC to achieve an ideal control effect. Based on an integrated state-space model of the supply voltage and the ES, an MPC controller is designed for power quality improvement. Simulation studies are carried out and the simulation results are presented to verify the effectiveness and accuracy of the control strategy.

Suggested Citation

  • Yun Zou & Yinlong Hu & Sifan Cao, 2019. "Model Predictive Control of Electric Spring for Voltage Regulation and Harmonics Suppression," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, April.
    • Handle: RePEc:hin:jnlmpe:7973591
    DOI: 10.1155/2019/7973591
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    Cited by:

    1. Mahdi Shademan & Alireza Jalilian & Mehdi Savaghebi, 2021. "Improved Control Method for Voltage Regulation and Harmonic Mitigation Using Electric Spring," Sustainability, MDPI, vol. 13(8), pages 1-16, April.

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