Analysis of wind power data for optimising DFIGs

Wenping Cao; Zheng Tan; Ying Xie; Bashar Zahawi; Andrew Smith (E&E); Milutin Jovanovic

doi:10.1109/EFEA.2012.6294039

Analysis of wind power data for optimising DFIGs

Wenping Cao, Zheng Tan, Ying Xie, Bashar Zahawi, Andrew Smith (E&E), Milutin Jovanovic

Mathematics, Physics and Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper evaluates various wind power estimation models to represent the wind energy for machine design and control purposes. Traditionally, linear, quadratic and cubic formulas have been used for interpolating wind power curves but have their limitations. Due to the fluctuating nature of wind power, they may not be accurate to model the actual wind speed profile and nor convenient for wind turbine generator design and control which demands a representative site-specific wind speed profile. On the basis of the DFIG equivalent circuit, loss components and maximum efficiency of DFIGs are derived and these are taken into account when optimising DFIGs to match the specific site of development.

Original language	English
DOIs	https://doi.org/10.1109/EFEA.2012.6294039
Publication status	Published - 2012
Event	EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications - Northumbria University, Newcastle upon Tyne, UK Duration: 27 Jun 2012 → …

Conference

Conference	EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications
Period	27/06/12 → …

Keywords

educational institutions
generators
rotors
wind power generation
wind speed
wind turbines

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10.1109/EFEA.2012.6294039

Cite this

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title = "Analysis of wind power data for optimising DFIGs",

abstract = "This paper evaluates various wind power estimation models to represent the wind energy for machine design and control purposes. Traditionally, linear, quadratic and cubic formulas have been used for interpolating wind power curves but have their limitations. Due to the fluctuating nature of wind power, they may not be accurate to model the actual wind speed profile and nor convenient for wind turbine generator design and control which demands a representative site-specific wind speed profile. On the basis of the DFIG equivalent circuit, loss components and maximum efficiency of DFIGs are derived and these are taken into account when optimising DFIGs to match the specific site of development.",

keywords = "educational institutions, generators, rotors, wind power generation, wind speed, wind turbines",

author = "Wenping Cao and Zheng Tan and Ying Xie and Bashar Zahawi and {Smith (E&E)}, Andrew and Milutin Jovanovic",

year = "2012",

doi = "10.1109/EFEA.2012.6294039",

language = "English",

note = "EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications ; Conference date: 27-06-2012",

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TY - CONF

T1 - Analysis of wind power data for optimising DFIGs

AU - Cao, Wenping

AU - Tan, Zheng

AU - Xie, Ying

AU - Zahawi, Bashar

AU - Smith (E&E), Andrew

AU - Jovanovic, Milutin

PY - 2012

Y1 - 2012

N2 - This paper evaluates various wind power estimation models to represent the wind energy for machine design and control purposes. Traditionally, linear, quadratic and cubic formulas have been used for interpolating wind power curves but have their limitations. Due to the fluctuating nature of wind power, they may not be accurate to model the actual wind speed profile and nor convenient for wind turbine generator design and control which demands a representative site-specific wind speed profile. On the basis of the DFIG equivalent circuit, loss components and maximum efficiency of DFIGs are derived and these are taken into account when optimising DFIGs to match the specific site of development.

AB - This paper evaluates various wind power estimation models to represent the wind energy for machine design and control purposes. Traditionally, linear, quadratic and cubic formulas have been used for interpolating wind power curves but have their limitations. Due to the fluctuating nature of wind power, they may not be accurate to model the actual wind speed profile and nor convenient for wind turbine generator design and control which demands a representative site-specific wind speed profile. On the basis of the DFIG equivalent circuit, loss components and maximum efficiency of DFIGs are derived and these are taken into account when optimising DFIGs to match the specific site of development.

KW - educational institutions

KW - generators

KW - rotors

KW - wind power generation

KW - wind speed

KW - wind turbines

U2 - 10.1109/EFEA.2012.6294039

DO - 10.1109/EFEA.2012.6294039

M3 - Paper

T2 - EFEA 2012: 2nd International Symposium on Environment Friendly Energies and Applications

Y2 - 27 June 2012

ER -

Analysis of wind power data for optimising DFIGs

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Keywords

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