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Sub-synchronous interaction damping controller for a series-compensated DFIG-based wind farm

  • Mohamed Abdeen
  • , Hui Li
  • , Mohamed Abd El Hakeem Mohamed
  • , Salah Kamel
  • , Baseem Khan
  • , Zhaosen Chai
  • Chongqing University
  • Al-Azhar University
  • Faculty of Energy Engineering
  • Hawassa University
  • Shihezi University

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Sub-synchronous interaction (SSI) phenomenon is one of the dynamic system problems that have an adverse influence on the safety and stability of the system.The use of supplementary damping controllers (SDCs) in the double-fed induction generator (DFIG) converter controllers is quite promising due to their simplicity,low costs, effectiveness, and easiness of tuning. This paper presents a new effective input control signal, rotor voltage, to the SDC for damping SSI in a series-compensated DFIG-based wind farm. The proposed SDC is embedded into both the q-axis and d-axis of the rotor-side converter inner current loops. Particle swarm optimization algorithm is used to identify the optimum parameters of the SDC which maintain the system stability at various operation conditions. Both eigenvalue analysis and time-domain simulations have been carried out to demonstrate the capability of the proposed SDC for enhancing the system stability and damping SSI. Compared to the conventional SDC, the proposed SDC has the best performance where it can quickly and robustly damp the SSI at different compensation levels, different wind speeds, and sub-synchronous control interaction.

Original languageEnglish
Pages (from-to)933-944
Number of pages12
JournalIET Renewable Power Generation
Volume16
Issue number5
DOIs
Publication statusPublished - 6 Apr 2022
Externally publishedYes

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

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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