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

  • José Luis Rueda
  • Abdul W. Korai
  • Jaime C. Cepeda
  • István Erlich
  • Francisco M. Gonzalez-Longatt
Part of the Power Systems book series (POWSYS)


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.


Control system Doubly fed induction generator Dynamic equivalent Power system dynamic performance 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • José Luis Rueda
    • 1
  • Abdul W. Korai
    • 2
  • Jaime C. Cepeda
    • 3
  • István Erlich
    • 4
  • Francisco M. Gonzalez-Longatt
    • 5
  1. 1.Department of Electrical Sustainable EnergyDelft University of TechnologyDelftThe Netherlands
  2. 2.Institute of Electrical Power SystemsUniversity Duisburg-EssenDuisburgGermany
  3. 3.Corporación Centro Nacional de Control de Energía—CENACEQuitoEcuador
  4. 4.Department of Electrical Engineering and Information TechnologiesUniversity Duisburg-EssenDuisburgGermany
  5. 5.School of Electronic, Electrical and Systems EngineeringLoughborough UniversityLoughboroughUK

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