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A Hybrid Filtering Technique-Based PLL Targeting Fast and Robust Tracking Performance under Distorted Grid Conditions

Author

Listed:
  • Yunlu Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Haixin Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Weichun Ge

    (Liaoning Province Electric Power Company, Shenyang 110006, China)

  • Yiming Ma

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

In most grid-connected power converter applications, the phase-locked loop (PLL) is probably the most widespread grid synchronization technique, owing to its simple implementation. However, its phase-tracking performance tends to worsen when the grid voltage is under unbalanced and distorted conditions. Many filtering techniques are utilized to solve this problem, however, at the cost of slowing down the transient response. It is a major challenge for PLL to achieve a satisfactory dynamic performance without degrading its filtering capability. To tackle this challenge, a hybrid filtering technique is proposed in this paper. Our idea is to eliminate the fundamental frequency negative sequence (FFNS) and other harmonic sequences at the prefiltering stage and inner loop of PLL, respectively. Second-order generalized integrators (SOGIs) are used to remove FFNS before the Park transformation. This makes moving average filters (MAFs) eliminate other harmonics with a narrowed window length, which means the time delay that is caused by MAFs is reduced. The entire hybrid filtering technique is included in a quasi-type-1 PLL structure (QT1-PLL), which can provide a rapid dynamic behavior. The small-signal model of the proposed PLL is established. Based on this model, the parameter design guidelines targeting the fast transient response are given. Comprehensive experiments are carried out to confirm the effectiveness of our method. The results show that the settling time of the proposed PLL is less than one grid cycle, which is shorter than most of the widespread PLLs. The harmonic rejection capability is also better than other methods, under both nominal and adverse grid conditions.

Suggested Citation

  • Yunlu Li & Junyou Yang & Haixin Wang & Weichun Ge & Yiming Ma, 2018. "A Hybrid Filtering Technique-Based PLL Targeting Fast and Robust Tracking Performance under Distorted Grid Conditions," Energies, MDPI, vol. 11(4), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:973-:d:141781
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    References listed on IDEAS

    as
    1. Wei Luo & Jianguo Jiang & He Liu, 2017. "Frequency-Adaptive Modified Comb-Filter-Based Phase-Locked Loop for a Doubly-Fed Adjustable-Speed Pumped-Storage Hydropower Plant under Distorted Grid Conditions," Energies, MDPI, vol. 10(6), pages 1-13, May.
    2. Mostafa Ahmadzadeh & Saeedollah Mortazavi & Mohsen Saniei, 2018. "Applying the Taguchi Method for Investigating the Phase-Locked Loop Dynamics Affected by Hybrid Storage System Parameters," Energies, MDPI, vol. 11(1), pages 1-20, January.
    3. Nanmu Hui & Dazhi Wang & Yunlu Li, 2018. "An Efficient Hybrid Filter-Based Phase-Locked Loop under Adverse Grid Conditions," Energies, MDPI, vol. 11(4), pages 1-18, March.
    4. Yijia Cao & Jiaqi Yu & Yong Xu & Yong Li & Jingrong Yu, 2017. "An Efficient Phase-Locked Loop for Distorted Three-Phase Systems," Energies, MDPI, vol. 10(3), pages 1-16, February.
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    Cited by:

    1. Daliang Yang & Li Yin & Shengguang Xu & Ning Wu, 2018. "Power and Voltage Control for Single-Phase Cascaded H-Bridge Multilevel Converters under Unbalanced Loads," Energies, MDPI, vol. 11(9), pages 1-18, September.
    2. Tie Li & Yunlu Li & Junyou Yang & Weichun Ge & Bo Hu, 2019. "A Modified DSC-Based Grid Synchronization Method for a High Renewable Penetrated Power System Under Distorted Voltage Conditions," Energies, MDPI, vol. 12(21), pages 1-19, October.

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