A third order model for the doubly-fed induction machine

Feijóo, Andrés; Cidrás, J.; Carrillo, C.

doi:10.1016/s0378-7796(00)00103-6

Cited by 144 publications

(64 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with the conventional reduced-order model in [14,15], the equivalent wind farm model composed of almost all the basic control units is able to better simulate the actual dynamic response, which will be verified by a comparison given in Section 5.…”

Section: ) Wind Farm Interface Modulementioning

confidence: 77%

“…The others make the whole wind farm equivalent to a single wind generator, which focus primarily on the whole wind farm's response behaviors, yet omitting the complex location information and electrical connections [11][12][13]. However, both kinds of approaches attempting to meet the parameter identification requirements establish reduced-order and simplified wind farm models at the cost of deteriorating some control effects and dynamic responses [14,15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems

Wang

Lü

Zhu

et al. 2016

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

With intermittence and stochastics of wind power largely introduced into power systems, power system stability analysis and control is in urgent need of reliable wind farm models. Considering the superiority of wide-area measurement systems, this paper develops a novel methodology for practical synchrophasor measurement-based modeling and parameter identification of wind farms. For the sake of preserving basic structural characteristics and control patterns simultaneously, a comprehensive wind farm model is constructed elaborately. To improve the efficiency of the identification procedure, dominant parameters are classified and selected by trajectory sensitivity analysis. Furthermore, an improved genetic algorithm is proposed to strengthen the capability of global optimization. The test results on the WECC benchmark system and the CEPRI 36-bus system demonstrate the effectiveness and reliability of the proposed modeling and identification methodology.

show abstract

Section: ) Wind Farm Interface Modulementioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems

Wang

Lü

Zhu

et al. 2016

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

show abstract

“…1 [16,17]. In this paper, a third-order model of IG is represented for a good compromise between simplicity and accuracy [18,19]. …”

Section: Models Of the Rps Systemmentioning

confidence: 99%

Adaptive Multiple MPC for a Wind Farm with DFIG: a Decentralized-Coordinated Approach

Li¹,

Zhang²,

Lin³

et al. 2016

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-For low investment and flexible control, doubly fed induction generator (DFIG) is becoming the dominant type that is been used in the wind farms (WFs) today. The report researches about the rotor-side controller of DFIG where all design is based on the single machine infinite bus (SMIB) model. The interactions between the different generators have not been considered in the SMIB model, and the desired performance cannot be obtained by using the controller based on this model. In this situation, an adaptive decentralized-coordinated multiple model predictive control (ADM-MPC) is proposed. First, the interaction measurement method is developed to obtain the interaction measurement model of DFIG, where the interactions between the different generators have been considered. Next, an adaptive multiple MPC based on the obtained interaction measurement method of DFIG is employed to control the rotor-side converter of DFIG. In order to cope with the stochastic disturbance of wind turbine, the augment state structure is employed to improve the tracking control performance. An artificial neural network (ANN) trained online is employed as a weighting controller to cope with the nonlinearities and large operating range of DFIG. A simple, generic renewable power system (RPS) is used to demonstrate contributions. The results of both dominant eigenvalue analysis and time response simulations are represented to illustrate contributions to system damping and transient stability that the DFIG based WF can make with the proposed ADM-MPC controller.

show abstract

“…For representation of fixed-speed induction generator models in power system stability studies [4], the stator flux transients can be neglected in the voltage relations. A simplified transient model of a single cage induction generator with the stator transients neglected and rotor currents eliminated, is described by the following differential equations [1], [13]:…”

Section: Power System Modelmentioning

confidence: 99%

A robust STATCOM control to augment LVRT capability of fixed speed wind turbines

Hossain

Pota

Ugrinovskii

et al. 2009

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference

View full text Add to dashboard Cite

A third order model for the doubly-fed induction machine

Cited by 144 publications

References 2 publications

Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems

Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems

Adaptive Multiple MPC for a Wind Farm with DFIG: a Decentralized-Coordinated Approach

A robust STATCOM control to augment LVRT capability of fixed speed wind turbines

Contact Info

Product

Resources

About