Projects per year
Abstract
As large-scale wind farms (WFs) are integrated with the power grid, the interaction between the WF and the grid may excite torsional vibration of the shaft of the wind turbine. To study the shaft's torsional vibration characteristics of a doubly fed induction generator (DFIG)-based WF, a detailed small-signal model of DFIG is established first. Then the small-signal model for a WF composed of multiple DFIGs is developed on the basis of the single-machine model. Modal analysis is employed to investigate the torsional vibration characteristics of a WF made up of several identical DFIGs, whose accuracy is also demonstrated through time-domain simulation. To simplify the torsional vibration analysis for the DFIG-based WF, a reduced-order equivalent model is proposed. The results obtained from modal analysis show that the equivalent model not only precisely maintains all the torsional vibration modes of the original small-signal model but also greatly reduces the computation complexity. With the equivalent model, the 'curse of dimensionality' problem is solved in torsional vibration analysis for large WFs, which is of great help in the design of further damping schemes.
Original language | English |
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Pages (from-to) | 646-656 |
Journal | IEEJ Transactions on Electrical and Electronic Engineering |
Volume | 12 |
Issue number | 5 |
Early online date | 17 May 2017 |
DOIs | |
Publication status | Published - Sept 2017 |
Keywords
- Doubly fed induction generator
- Equivalent model
- Shaft torsional vibration
- Small signal analysis
- Wind farm
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Torsional vibration characteristics analysis of DFIG-based wind farm and its equivalent model'. Together they form a unique fingerprint.Projects
- 1 Finished
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council
Profiles
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Chenghong Gu
- Department of Electronic & Electrical Engineering - Professor
- Centre for Sustainable Energy Systems (SES)
- Centre for Climate Adaptation & Environment Research (CAER)
- Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
- IAAPS: Propulsion and Mobility
Person: Research & Teaching, Core staff, Affiliate staff
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Furong Li
- Department of Electronic & Electrical Engineering - Professor
- Centre for Doctoral Training in Decarbonisation of the Built Environment (dCarb)
- Centre for Sustainable Energy Systems (SES)
- IAAPS: Propulsion and Mobility
- Institute of Sustainability and Climate Change
Person: Research & Teaching, Core staff, Affiliate staff