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Implementation of Simplified Models of DFIG-Based Wind Turbines for RMS-Type Simulation in DIgSILENT PowerFactory

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Part of the book series: Power Systems ((POWSYS))

Abstract

Due to its variable nature, the increasing penetration of wind power plants into power systems poses new challenges for reliable and secure operation. Considering that model-based time-domain simulation constitutes a widely used approach for assessing the power system dynamic performance as well as for making proper decisions concerning operational and planning security strategies, there has been a great research effort, especially in the last decade, to cover different issues on modelling of wind generation systems (WGS). Remarkably, the development of models that entail a compromise between accuracy and simplicity is one of the main concerns for enabling the simulation of large-scale systems. This chapter addresses the implementation of two simplified models of WGs by using the functionalities of DIgSILENT simulation language (DSL). The first one is the reduced third-order model of the doubly fed induction generator (DFIG), for which suitable models for multiple point tracking, the rotor-side controller (RSC), current controller, and speed and pitch controller are adopted. The second model constitutes a generic equivalent model, which can be used for representation of the stationary and dynamic response of wind power plants comprising several DFIGs. RMS-type simulation results are presented to illustrate the suitability of the adopted modelling approaches.

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Correspondence to José Luis Rueda .

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Rueda, J.L., Korai, A.W., Cepeda, J.C., Erlich, I., Gonzalez-Longatt, F.M. (2014). Implementation of Simplified Models of DFIG-Based Wind Turbines for RMS-Type Simulation in DIgSILENT PowerFactory. In: Gonzalez-Longatt, F., Luis Rueda, J. (eds) PowerFactory Applications for Power System Analysis. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12958-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-12958-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12957-0

  • Online ISBN: 978-3-319-12958-7

  • eBook Packages: EnergyEnergy (R0)

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