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High Frequency Resonance Suppression Strategy of Three-Phase Four-Wire Split Capacitor Inverter Connected to Parallel Compensation Grid

Author

Listed:
  • Guoli Feng

    (College of Electrical Engineering, Navel University of Engineering, Jiefang Road 717, Wuhan 430030, China)

  • Zhihao Ye

    (College of Electrical Engineering, Navel University of Engineering, Jiefang Road 717, Wuhan 430030, China)

  • Yihui Xia

    (College of Electrical Engineering, Navel University of Engineering, Jiefang Road 717, Wuhan 430030, China)

  • Heng Nian

    (College of Electrical Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China)

  • Liming Huang

    (College of Electrical Engineering, Navel University of Engineering, Jiefang Road 717, Wuhan 430030, China)

  • Zerun Wang

    (College of Electrical Engineering, Navel University of Engineering, Jiefang Road 717, Wuhan 430030, China)

Abstract

With the continuous penetration and development of renewable energy power generation, the distributed grid and the microgrid are becoming increasingly important in modern power systems. In distribution networks and the microgrid, the grid impedance is comparatively large and cannot be ignored. Usually, the parallel compensation is used to improve the grid quality. In the grid with parallel compensation, the large phase angle difference between the impedance of the grid-connected inverter and the impedance of the grid at amplitude intersection will result in high frequency resonance (HFR). Because the inverter shows filter characteristics due to limited bandwidth of the controller, the parallel compensation grid, respectively, performs as the capacitance characteristic and inductance characteristic in different high frequency range. Compared with the three-phase, three-wire system, an additional zero-sequence path exists in the three-phase four-wire split capacitor inverter (TFSCI) system, so that the existing high frequency resonance suppression methods will be not effective. Since the zero-sequence component is neglected, HFR will also occur, in addition to the positive-sequence component and the negative-sequence component. Therefore, in order to suppress the high frequency resonance caused by positive-sequence, negative-sequence and zero-sequence components, an impedance reshaping strategy based on current feedback is proposed in this paper. This proposed method can reshape the amplitude and phase of the inverter impedance in a high frequency range without affecting the performance of the fundamental frequency control and ensure that the inverter contains a sufficient phase margin. Additionally, the proposed method can reshape the impedance of TFSCI within a wide frequency range, which makes it able to cope with the challenge of the parallel compensation degree change. Theoretical analysis and experiments verify the availability of the proposed control strategy.

Suggested Citation

  • Guoli Feng & Zhihao Ye & Yihui Xia & Heng Nian & Liming Huang & Zerun Wang, 2022. "High Frequency Resonance Suppression Strategy of Three-Phase Four-Wire Split Capacitor Inverter Connected to Parallel Compensation Grid," Energies, MDPI, vol. 15(4), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1486-:d:751595
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    References listed on IDEAS

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    1. Ahmad, Fiaz & Rasool, Akhtar & Ozsoy, Emre & Sekar, Raja & Sabanovic, Asif & Elitaş, Meltem, 2018. "Distribution system state estimation-A step towards smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2659-2671.
    2. Shaojian Song & Peichen Guan & Bin Liu & Yimin Lu & Huihwang Goh, 2021. "Impedance Modeling and Stability Analysis of DFIG-Based Wind Energy Conversion System Considering Frequency Coupling," Energies, MDPI, vol. 14(11), pages 1-22, June.
    3. Emad M. Ahmed & Mokhtar Aly & Ahmed Elmelegi & Abdullah G. Alharbi & Ziad M. Ali, 2019. "Multifunctional Distributed MPPT Controller for 3P4W Grid-Connected PV Systems in Distribution Network with Unbalanced Loads," Energies, MDPI, vol. 12(24), pages 1-19, December.
    4. Yunyang Xu & Heng Nian & Yangming Wang & Dan Sun, 2020. "Impedance Modeling and Stability Analysis of VSG Controlled Grid-Connected Converters with Cascaded Inner Control Loop," Energies, MDPI, vol. 13(19), pages 1-21, October.
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