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Modelling and analysis of frequency-responsive wind turbine involved in power system ultra-low frequency oscillation

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Sun, Li and Zhao, Xiaowei (2022) Modelling and analysis of frequency-responsive wind turbine involved in power system ultra-low frequency oscillation. IEEE Transactions on Sustainable Energy . doi:10.1109/TSTE.2021.3134910

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Official URL: http://dx.doi.org/10.1109/TSTE.2021.3134910

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Abstract

This paper presents a dynamic analysis for ultra-low frequency oscillations (ultra-LFOs) observed in the wind-hydropower hybrid systems. In such systems, DFIG wind turbines (WTs) are required to be frequency-responsive with providing the inertia and frequency support. First, this paper establishes an analytical model to capture the dynamics of frequency-responsive DFIG WTs at the electromechanical timescale. A systematic analysis is then conducted on a 2-machine system (include a hydraulic generator (HG) and an aggregated DFIG WT) to reveal WTs dynamic behaviors and their interference mechanism with the HG, accounting for the system ultra-LFO mode. The result shows that WTs frequency control, speed control, MPPT control and pitch control would be involved in the system ultra-LFOs, but they have different effects under different operating modes. Cases studies are carried out on the 2-machine system and a modified 10 machine 39-bus New-England power system. Based on the modelling effort and simulation studies, some recommendations are made for using DFIG WTs to help damp the ultra-LFO in wind-hydropower hybrid systems.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Wind turbines, Wind power plants, Wind energy conversion systems, Frequencies of oscillating systems
Journal or Publication Title: IEEE Transactions on Sustainable Energy
Publisher: IEEE
ISSN: 1949-3029
Official Date: 2022
Dates:
DateEvent
2022Published
13 December 2021Available
9 December 2021Accepted
DOI: 10.1109/TSTE.2021.3134910
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: IEEE
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/S001905/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

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