Direct Torque Control of a Doubly-Fed Induction Generator for Variable Speed Wind Turbines

Arnalte, S.; Burgos, Juan Carlos; Rodriguez-Amenedo, José Luis

doi:10.1080/153250002753427851

Cited by 97 publications

(32 citation statements)

References 3 publications

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“…Considering (9) and the first line in (8), the complex power S in side 1 can be expressed in terms of side 1 flux, side 2 (and 3) flux and side 4 flux as…”

Section: Principle Of Dpc For Cbdfig a Effects Of Side 4 Voltagmentioning

confidence: 99%

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A cascaded brushless doubly fed induction generator for wind energy applications based on direct power control

Zhang

et al. 2011

2011 International Conference on Electrical Machines and Systems

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This paper proposes a direct power control (DPC) strategy for cascaded brushless doubly fed induction generator (CBDFIG), which eliminates the slip rings and brushes in conventional DFIG wind turbine systems and features quick dynamic response and excellent steady state performance. Prior methods for controlling CBDFIG are based on vector control (VC), which is complicated and requires much tuning work and machine parameters. Appropriate decoupling and fine PI tuning are mandatory to obtain good performance over the entire operating range. Furthermore, there are few papers regarding the grid synchronization issue of CBDFIG. This paper firstly analyzes the influence of each voltage vector on active/reactive powers and then proposes a unified switching table for both grid-connected operation and grid synchronization process. The effectiveness of the developed DPC method for CBDFIG is confirmed by the presented simulation results.

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“…Considering (9) and the first line in (8), the complex power S in side 1 can be expressed in terms of side 1 flux, side 2 (and 3) flux and side 4 flux as…”

Section: Principle Of Dpc For Cbdfig a Effects Of Side 4 Voltagmentioning

confidence: 99%

“…To eliminate the tuning effort in conventional VC and increase the dynamic response, direct torque control (DTC) [9] and direct power control (DPC) [10] were proposed recently . Some methods have been developed to further improve the steady performance of direct control [11], [12].…”

Section: Introductionmentioning

confidence: 99%

A cascaded brushless doubly fed induction generator for wind energy applications based on direct power control

Zhang

et al. 2011

2011 International Conference on Electrical Machines and Systems

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“…TLBO has many similarities to evolutionary algorithms (EAs): an initial population is randomly selected, moving on the way to the teacher and classmates is comparable to mutation operator in EA, and selection is based on comparing two solutions in which the better one always survives [23]. Similar to most other evolutionary optimization methods, TLBO is a population-based algorithm inspired by learning process in a classroom.…”

Section: Teaching-learning-based-optimization (Tlbo) Algorithmmentioning

confidence: 99%

Optimal Voltage And Frequency Control Of A Microgrid System Using A Teaching-Learning Based Optimization (TLBO) Algorithm

Hedayati

Abbasi²

2015

International Journal of Electrical Electronics and Data Communication

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Abstract-The stability is an important topic to plan and manage the energy in the microgrids as the same as the conventional power systems. The voltage and frequency stability is one of the most important issues recently studied in microgrids. The objectives of this paper are the modelling and designing of the components and optimal controllers for the voltage and frequency control of the AC/DC hybrid microgrid under the different disturbances. Since the PI controllers have the advantages of simple structure and easy implementation, so they were designed and modeled in this paper. The teachinglearning based optimization (TLBO) algorithm is used to optimize the controllers' parameters. According to the achieved results, the optimal PI controllers have a good performance in voltage and frequency control of the microgrid.

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“…For a given effective wind speed v , it consists in synthesising the generator torque g T to adjust the rotor speed  to its optimal value opt  . The option of choosing g T as the control variable is justified by the fact that this last is quite easy to generate through swift and effective electric machine controllers using either vector control (Pena et al, 1996) or direct torque control (Arnalte et al, 2002). To test performance of the new introduced controllers, the well-known reference controllers ISC (Leithead & Connor, 2000;Wright, 2003) and ATF (Pena et al, 1996;Vihriälä et al, 2001;Johnson, 2004) are considered.…”

Section: Advanced Controlmentioning

confidence: 99%

Advanced Control of Wind Turbines

Khamlichi¹,

Ayyat²,

Bezzazi³

et al. 2011

Fundamental and Advanced Topics in Wind Power

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Direct Torque Control of a Doubly-Fed Induction Generator for Variable Speed Wind Turbines

Cited by 97 publications

References 3 publications

A cascaded brushless doubly fed induction generator for wind energy applications based on direct power control

A cascaded brushless doubly fed induction generator for wind energy applications based on direct power control

Optimal Voltage And Frequency Control Of A Microgrid System Using A Teaching-Learning Based Optimization (TLBO) Algorithm

Advanced Control of Wind Turbines

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