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A Novel Aggregation Technique Using Mechanical Torque Compensating Factor for DFIG Wind Farms

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Book cover Renewable Energy Integration

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

A novel aggregated model for wind farms consisting of wind turbines equipped with doubly fed induction generators (DFIG) is proposed in this paper. In the proposed model, a mechanical torque compensating factor (MTCF) is integrated into a full aggregated wind farm model to deal with the nonlinearity of wind turbines in the partial load region and to make it behave as closely as possible to a complete model of the wind farm. The MTCF is initially constructed to approximate a Gaussian function by a fuzzy logic method and optimized on a trial and error basis to achieve less than 10% discrepancy between the proposed aggregated model and the complete model. Then, a large scale offshore wind farm comprising 72 DFIG wind turbines is used to verify the effectiveness of the proposed aggregated model. The simulation results show that the proposed model is able to approximate collective dynamic responses at the point of common coupling with significant reduction in the simulation computation time.

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Authors and Affiliations

  1. Faculty of Engineering and Industrial Sciences, Swinbune University of Technology, Internal Mail H38, PO Box 218, Hawthorn, VIC, 3122, Australia

    M. A. Chowdhury

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  1. M. A. Chowdhury
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Correspondence to M. A. Chowdhury .

Editor information

Editors and Affiliations

  1. Griffith School of Engineering, Griffith University, Gold Coast, Queensland, Australia

    Jahangir Hossain

  2. Electrical & Electronics Engineering, Swinburne University of Technology, Hawthorn, Victoria, Australia

    Apel Mahmud

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© 2014 Springer Science+Business Media Singapore

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Chowdhury, M.A. (2014). A Novel Aggregation Technique Using Mechanical Torque Compensating Factor for DFIG Wind Farms. In: Hossain, J., Mahmud, A. (eds) Renewable Energy Integration. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-4585-27-9_13

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  • DOI: https://doi.org/10.1007/978-981-4585-27-9_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-26-2

  • Online ISBN: 978-981-4585-27-9

  • eBook Packages: EnergyEnergy (R0)

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