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Nonlinear Adaptive Control of Doubly-fed Induction Generator for Variable Speed Wind Turbine

Reference Number
EP/J014249/1
Title
Nonlinear Adaptive Control of Doubly-fed Induction Generator for Variable Speed Wind Turbine
Status
Completed
Energy Categories
Renewable Energy Sources(Wind Energy)
Research Types
Basic and strategic applied research
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Dr L Jiang
Electrical Engineering and Electronics
University of Liverpool
Award Type
Standard
Funding Source
EPSRC
Start Date
29 October 2012
End Date
28 October 2014
Duration
24 months
Total Grant Value
£180,776
Industrial Sectors
Energy
Region
North West
Programme
Energy : Engineering
Investigators
Principal Investigator
Dr L Jiang, Electrical Engineering and Electronics, University of Liverpool
Industrial Collaborator
Project Contact, Xinjiang Goldwind Science & Technology, China
Project Contact, Huazhong University of Science and Technology, China
Project Contact, Alstom Grid Ltd
Web Site
Objectives
Abstract
Doubly-fed induction generator wind turbines (DFIG-WTs) have been widely adopted by the current wind power generation systems (WPGSs) due to their cost-effective provision of a high efficiency energy conversion via variable speed operation. Most of the installed DFIG-WTs utilise vector control (VC) for the power control of DFIG. To cope with the increasing demand of integrating the large capacity of wind power into the current power grid, grid operators require that the WPGSs should ride through grid faults and support grid stability. However, VCs are not capable of providing satisfied fault ride-through capability as they are mainly derived based on the steady-state operation of the DFIG. On the other hand, the time-varying nonlinearities and disturbances existing in the DFIG-WTs are needed to be tackled so as to improve the energy conversion efficiency. This proposal will investigate an advanced nonlinear adaptive control algorithm for the DFIG-WT to improve the energy conversion efficiency, the fault-ride through capability and the support of grid stability. The proposed controller will adaptively compensate unknown and time-varying disturbances such as intermittent wind power inputs, the nonlinear dynamics of the DFIG-WT and the power grid. Without relying on an accurate system model, the developed controller will have a relative simpler control algorithm compared to other advanced control methods and can be implemented based on the current hardware used by the vector control method. Due to the wide usage of the DFIG-WTs in the current WPGSs and in the fast growing offshore wind farms, designing a novel controller and upgrading the current used VCs will have great practical importances and help the integration of large capacity of wind power into power grid
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Added to Database
03/12/12