Dynamic patterns and model order reduction in small-signal models of doubly fed induction generators for wind power applications

Rouco, L.; Zamora-Macho, Juan Luis

doi:10.1109/pes.2006.1709515

Cited by 36 publications

(24 citation statements)

References 4 publications

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“…When analyzing the transients of circuits and electrical machines, the detailed model is often built first to describe the plant as accurately as possible. Then the model order can be reduced according to the specific problems under investigation [22]- [24]. However, the widely used load model of ZIP in parallel with the motor has been accepted so far as one appropriate form to represent the load dynamics.…”

mentioning

confidence: 99%

Reducing Identified Parameters of Measurement-Based Composite Load Model

Jin

Han

et al. 2008

IEEE Trans. Power Syst.

148

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A load model is one of the most important elements in power system simulation and control. Recently, the constant impedance, constant current, and constant power load in combination with the induction motor load have been widely used as the composite load model, whose parameters are all identified from the field measurements in measurement-based load modeling practices so far. However, there is virtually no research conducted on whether all these parameters could really be identified. This paper investigates the possibility on reducing the number of composite load model parameters to be identified from field measurements. This paper first shows that direct application of the IEEE load motor parameters in the composite load model may be inadequate on describing the load dynamics over different operating status. Then the perturbation method is used to derive the trajectory sensitivities of the equivalent motor parameters, based on which the reduction on the identified parameters of the composite load model is presented. Two cases of measurement-based load modeling in North China and Northeast China are studied to illustrate the validity of the reduction method. It is shown that the reduction does not lose the model's capability on describing the load dynamics. The reduction on the number of identified parameters not only provides a possible way to solve the multi-valued load model problem based on the current practices on measurement-based load modeling, but it also facilitates building of the load model with more components included in it. Meanwhile, reducing the identified parameters reduces the identification time; thus, the proposed strategy significantly enhances the efficiency of the load modeling work.Index Terms-Composite load model, field measurements, power system stability, trajectory sensitivity.

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confidence: 99%

Reducing Identified Parameters of Measurement-Based Composite Load Model

Jin

Han

et al. 2008

IEEE Trans. Power Syst.

148

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“…In order to study the oscillatory behavior of the system, small-signal-stability analysis, especially the Hopf bifurcation, is needed. The modeling of DFIG has been studied in [5]- [13]; however, there is currently a lack of a systematic comprehensive modeling approach suitable for small-signal stability. In the following section, we develop a comprehensive model for the DFIG wind turbine system.…”

Section: Modeling Of Dfig Wind Turbine System For Oscillatory Stamentioning

confidence: 99%

“…According to the voltage-and flux-linkage equations of the induction generator [13], [14], the differential equations of the stator and rotor circuits of the induction generator with stator and rotor current as state variables can be given in a d-q reference frame rotating at synchronous speed (we define this reference frame as the generator reference frame in this paper) as follows:…”

Section: A Generatormentioning

confidence: 99%

Oscillatory Stability and Eigenvalue Sensitivity Analysis of A DFIG Wind Turbine System

Yang

Østergaard

et al. 2011

IEEE Trans. Energy Convers.

205

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Abstract-This paper focuses on modeling and oscillatory stability analysis of a wind turbine with doubly fed induction generator (DFIG). A detailed mathematical model of DFIG wind turbine with vector-control loops is developed, based on which the loci of the system Jacobian's eigenvalues have been analyzed, showing that, without appropriate controller tuning a Hopf bifurcation can occur in such a system due to various factors, such as wind speed. Subsequently, eigenvalue sensitivity with respect to machine and control parameters is performed to assess their impacts on system stability. Moreover, the Hopf bifurcation boundaries of the key parameters are also given. They can be used to guide the tuning of those DFIG parameters to ensure stable operation in practice. The computer simulations are conducted to validate the developed model and to verify the theoretical analysis.Index Terms-Doubly fed induction generator (DFIG), eigenvalue sensitivity, Hopf bifurcation, stability.

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“…The effects of turbine and system parameters on voltage stability are emphasized in [13] and [14]. In the analysis, a model of a wind turbine with a DFIG and its associated controllers is indicated, and a small signal stability model is derived [15,16]. DFIG output voltage and frequency should be within the limits required by standards and the grid code.…”

Section: Introductionmentioning

confidence: 99%