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A Novel Decentralized Droop Control Scheme for Multiparalleled APFs With Grid Current Detected

  • Zhilong Zhang
  • , Hao Yi
  • , Yuguo Li
  • , Xin Jiang
  • , Zhenxiong Wang
  • , Fang Zhuo
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

With the development of renewable energy generation, a single active power filter (APF) can hardly satisfy the requirements for harmonic compensation in high-power applications. Consequently, APFs are frequently connected in parallel to boost the capacity. And a central controller or a communication line is employed to allocate the compensation capacity. However, the intercommunication among APFs not only diminishes the reliability of the system, but also deteriorates the dynamic response. Additionally, hardware modifications must be applied to the original single APFs. Therefore, this article proposes a novel decentralized droop control scheme for multiparalleled APFs. With grid current detected, the proposed scheme enables the APFs to automatically allocate the compensation current. In comparison with prior research, both harmonic filtering and current sharing exhibit substantial enhancements, while dynamic response is maintained. Besides, the proposed scheme is more suitable for N multiparalleled APFs with lower steady error and better reliability. The detailed operating principle, parameter tuning, and performance analysis are presented. Finally, the proposed scheme is verified by simulations and experiments under various operating conditions.

Original languageEnglish
Pages (from-to)5922-5938
Number of pages17
JournalIEEE Transactions on Power Electronics
Volume40
Issue number4
DOIs
StatePublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Decentralized control
  • grid current detected control
  • multiparalleled active power filter (APF)
  • stability analysis

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