Application of energy flow analysis in investigating machine-side oscillations of full converter-based wind generation systems

Yong Hu, Siqi Bu, Jianqiang Luo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The machine-side oscillation (MSO) of the full converter-based wind generation (FCWG) systems is a critical threat to the reliable wind power supply. The introduction of the auxiliary resonance controller (ARC) to the machine-side converter (MSC) controls of FCWG can effectively improve the converter-driven stability of the power grid, but it would also complicate MSOs of FCWG. Thus, it is of great significance to study the damping feature of MSOs of FCWG. In this paper, the energy flow analysis (EFA) is applied to quantitatively investigate MSOs of FCWG. Firstly, the configuration and machine-side control loops of FCWG are briefly introduced. Then, a mode screening-based EFA is proposed for evaluating the damping feature of MSOs of FCWG in the time domain by applying the principle of the Laplace transform. After that, the eigenvalue analysis is conducted for MSOs of FCWG in the frequency domain to lay a foundation for revealing the essence of EFA. On this basis, the consistency of EFA with the eigenvalue analysis is strictly proved based on the Parseval's Theorem, which is applicable for arbitrary control schemes of FCWG. Finally, the proposed EFA is applied in numerically investigating multiple types of MSOs of FCWG in case studies.

Original languageEnglish
Pages (from-to)900-911
Number of pages12
JournalIET Renewable Power Generation
Volume16
Issue number5
DOIs
Publication statusPublished - 6 Apr 2022

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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