2022
DOI: 10.4028/p-20n6a9
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Advanced Control of Doubly Fed Induction Generator for Wind Power Systems: Optimal Control of Power Using PSO Algorithm

Abstract: This paper provides the modeling and control of stator active and reactive power for doubly fed induction generator (DFIG) under wind turbine systems using a direct power control (DPC) is applied to the grid side converter (GSC), also the rotor side converter (RSC) of the DFIG is controlling with the field control (FOC) to realize the decoupling control of the active and reactive power. For tuning the PI controllers is a tedious work and it is difficult to tune the PI gains optimally due to the nonlinearity an… Show more

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Cited by 10 publications
(2 citation statements)
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“…>( ) = 2( ) − ; . A (14) This proposed FPI controller will be designed and employed to improve and enhance the performance of the DPC technique of DFIG-MRWT system in the next part, where the necessary details for this proposed DPC-FPI strategy will be mentioned.…”
Section: Suggested Fpi Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…>( ) = 2( ) − ; . A (14) This proposed FPI controller will be designed and employed to improve and enhance the performance of the DPC technique of DFIG-MRWT system in the next part, where the necessary details for this proposed DPC-FPI strategy will be mentioned.…”
Section: Suggested Fpi Controllermentioning
confidence: 99%
“…According to the work done in [11], the DPC strategy has many disadvantages that can be identified in the following points: 1) the presence of large fluctuations at the power level, 2) low current quality, 3) the use of power estimation, which makes it tied to the system parameters, 4) low durability, 5) The current has a high value of total harmonic distortion (THD), 6) The presence of variable and high frequencies at the current level. In order to overcome these defects, several intelligent strategies were used for this purpose, as genetic algorithms (GAs) [12], neural networks (NNs) [13], particle swarm optimization (PSO) [14], and fuzzy logic (FL) [15] were used. These artificial intelligence techniques, which mainly rely on experience, were employed to lessen the energy ripples' intensity and the THD value of current.…”
Section: Introductionmentioning
confidence: 99%