Internal Modal Resonance Analysis for Full Converter-based Wind Generation using Analytical Inertia Model

Jianqiang Luo, Ning Tong, Siqi Bu, Anbo Meng, Hao Yin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Full converter-based wind generation (FCWG) has become a prevailing choice in new wind farms. It is usually regarded that low short circuit ratio (SCR) or weak grid is a key condition to induce oscillations associated with wind farms. However, we have recently discovered a rare phenomenon that even in a strong grid with a large SCR, the internal modal resonance of FCWG can still lead to oscillations and threaten the converter-driven stability. To determine the internal modal resonance in FCWG, a novel analytical inertia model (AIM) is derived to elaborate all oscillation modes of FCWG (FOMs) for the first time. The derived model reviews the complex relations of all FOMs in a formulaic manner, which not only provides guidance on parameter resetting, but also illuminates how FOMs interact with each other. On this basis, an equivalent transfer function is integrated into the state space equation to characterize the interaction effect, and a universal torque model is proposed to yield insights into the mechanism of internal modal resonance owing to the variation of operating conditions. Furthermore, the effectiveness of AIM is substantiated as well as the analysis method, and the unusual event of internal modal resonance is also demonstrated.

Original languageEnglish
Article number10158026
Pages (from-to)1-14
Number of pages14
JournalIEEE Transactions on Power Systems
DOIs
Publication statusPublished - Jun 2023

Keywords

  • analytical inertia model (AIM)
  • Analytical models
  • Damping
  • equivalent transfer function
  • Full converter-based wind generation (FCWG)
  • internal modal resonance
  • Oscillators
  • Phase locked loops
  • Power system stability
  • Torque
  • Wind farms

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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