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MMC-HVDC High-Frequency Resonance Suppression Strategy Based on Multi-Band Band-Stop Filters

Author

Listed:
  • Tinghe Cui

    (College of Electrical Engineering, Xinjiang University, Urumqi 830000, China)

  • Weiqing Wang

    (College of Electrical Engineering, Xinjiang University, Urumqi 830000, China)

  • Haiyun Wang

    (College of Electrical Engineering, Xinjiang University, Urumqi 830000, China)

Abstract

Renewable energy generation is a manifestation of global economic and societal advancement and serves as a fundamental assurance for humanity’s pursuit of sustainable development. However, recent years have witnessed several instances of high-frequency resonance events in high-voltage direct current (HVDC) transmission systems based on modular multilevel converters (MMC), which have resulted in converter station tripping and significant repercussions on the alternating current (AC) grid. This paper addresses the mid-to-high frequency resonance issues prevalent in flexible DC transmission systems employing modular multilevel converters (MMC-HVDC). To tackle these concerns, an impedance model for MMC’s AC side is established. Utilizing impedance analysis, the essential factors contributing to the negative damping characteristics of MMC are identified as delay and voltage feedforward loops, predominantly causing negative damping in the frequency range exceeding 400 Hz. In response, a suppression strategy is proposed, involving the incorporation of a multi-band stop filter and virtual impedance. This strategy ensures that within the 0–2000 Hz frequency range, only the impedance phase within 230–430 Hz slightly surpasses 90°. Consequently, the phase difference between MMC’s positive-sequence impedance and the AC system impedance is reduced from 222° to 174.7°, thus guaranteeing secure grid operation. Lastly, the accuracy and effectiveness of the theoretical analysis and suppression methodology are verified through the development of an electromagnetic transient model in MATLAB/Simulink, considering delay fluctuations of ±10%.

Suggested Citation

  • Tinghe Cui & Weiqing Wang & Haiyun Wang, 2023. "MMC-HVDC High-Frequency Resonance Suppression Strategy Based on Multi-Band Band-Stop Filters," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13309-:d:1233321
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    References listed on IDEAS

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    1. Hamid Saeed Khan & Attaullah Y. Memon, 2023. "Active and Reactive Power Control of the Voltage Source Inverter in an AC Microgrid," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Koganti Srilakshmi & Canavoy Narahari Sujatha & Praveen Kumar Balachandran & Lucian Mihet-Popa & Naluguru Udaya Kumar, 2022. "Optimal Design of an Artificial Intelligence Controller for Solar-Battery Integrated UPQC in Three Phase Distribution Networks," Sustainability, MDPI, vol. 14(21), pages 1-30, October.
    3. Qian Chen & Qiang Li & Jiyang Wu & Jingsong He & Chizu Mao & Ziyou Li & Bo Yang, 2023. "State Monitoring and Fault Diagnosis of HVDC System via KNN Algorithm with Knowledge Graph: A Practical China Power Grid Case," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
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