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2014 | OriginalPaper | Buchkapitel

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

verfasst von : José Luis Rueda, Abdul W. Korai, Jaime C. Cepeda, István Erlich, Francisco M. Gonzalez-Longatt

Erschienen in: PowerFactory Applications for Power System Analysis

Verlag: Springer International Publishing

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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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Metadaten
Titel
Implementation of Simplified Models of DFIG-Based Wind Turbines for RMS-Type Simulation in DIgSILENT PowerFactory
verfasst von
José Luis Rueda
Abdul W. Korai
Jaime C. Cepeda
István Erlich
Francisco M. Gonzalez-Longatt
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-12958-7_9

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