Active and reactive power control of a grid connected speed sensor less DFIG based wind energy conversion system

Datta, Subir; Mishra, Jyoti; Roy, Ashis Kumar

doi:10.1109/epetsg.2015.7510144

Cited by 11 publications

(3 citation statements)

References 24 publications

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“…Using space vectors and considering ω r = s⋅ω s , (4) and (5) can be represented by (6) and 7, respectively, where V s_d-q , V r_d-q , I s_dq , and I r_d-q are the steady-state d-q space vectors of stator and rotor voltages and currents…”

Section: Modelling Of the Dfigmentioning

confidence: 99%

“…As shown in Fig. 1, the equivalent circuit of DFIG in d-q reference frame can be obtained through (6) and (7). Using this equivalent circuit, the stator active and reactive powers can be calculated by…”

Section: Modelling Of the Dfigmentioning

confidence: 99%

“…The control structure of the DFIG plays an important role to guarantee reliable and efficient operation under different conditions in terms of wind speed, load profile etc. In most cases, active and reactive powers of DFIG are controlled with vector control (VC) technique [5,6]. In spite of the easy implementation of this control technique, its performance is affected from the inner (current) control loop performance.…”

Section: Introductionmentioning

confidence: 99%

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Self‐tuning fuzzy‐PI‐based current control algorithm for doubly fed induction generator

Demirbaş

2017

IET Renewable Power Generation

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This study presents a fuzzy-proportional-integral (PI) controller having self-tuning property for current control of doubly fed induction generator (DFIG). Two fuzzy-PI-based controllers: first one is used for controlling rotor current of DFIG, whereas the other come up with optimal output-scaling factor for the former are employed to carry out the algorithm. The proposed controller is robust with different operating conditions and parameter changes because of having adaptive feature. The performance of the control algorithm both transient and steady-state conditions are tested with several experiments performed various operating points. The results achieved from both simulation and experimental tests verify that the implemented method is superior to steady-state and transient response at all operations as exhibits robustness to wind speed and parameter variations.

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Section: Modelling Of the Dfigmentioning

confidence: 99%

Section: Modelling Of the Dfigmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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