A DTC SEIG drive scheme for an isolated wind turbine buck system

Hammadi, Samah; Hidouri, Noureddine; Sbita, Lassaâd

doi:10.1109/codit.2013.6689602

Cited by 2 publications

(2 citation statements)

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“…Another approach that follows the same principle of DTC [41] is direct Power Control (DPC) [5], [6] which regulates both active and reactive powers. Because of the established relationship between developed torque and active power, managing active power also affects developed torque, and managing reactive power affects flux.…”

Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

“…Taylor expansion can be used to predicted the actual stator current components 𝑖 𝑑𝑠,(𝑘+1) and 𝑖 𝑞𝑠,(𝑘+1) , While stator current reference values 𝑖 𝑑𝑠,𝑘+1 * and 𝑖 𝑞𝑠,𝑘+1 * , may be directly determined using the reference values of the active and reactive powers. According actual value of stator current components, the predictive can be evaluated as (41) and (42)…”

Section: Mpcc Techniquementioning

confidence: 99%

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Dynamic Performance Enhancement of a Self-Excited Induction Generator Connected to the Grid Using an Effective Control Algorithm

Saleh,

Diab,

El-Gaafary

et al. 2023

IJRCS

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The current study aims to present a comprehensive analysis of a control technique used for improving the dynamic performance of a grid connected self-excited induction generator (SEIG). All components in the control system are modelled and explained in details. The management of SEIG operation is achieved through controlling the machine side converter using a new formulated predictive voltage control scheme (PVC). The proposed (PVC) is compared to field oriented control (FOC), model predictive current control (MPCC) and model predictive direct torque control (MPDTC) systems. MPDTC and MPCC have several drawbacks like high ripple, high load commutation, and using a weighting factor in their cost function, While FOC systems depend on machine parameters for variable estimation factors, need to use PI regulators and co-ordinate transformations, which complicate the system and slow down the dynamic response. The results obtained indicate that the proposed PVC is effective, as the ripples are reduced by 43% when compared to the MPDTC-used one and by 30% when compared to MPCC. Additionally, PVC's time response is less than that of the FOC by 15%, MPCC by 9%, and MPDTC by 4%. Furthermore, PVC produces 38% fewer commutations than MPCC and 40% fewer commutations than MPDTC. Consequently, the generator's efficiency and dependability both increased as a result of its better performance.

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Section: Seig; Nonlinear Control; Predictive Control; Ripples; Dynami...mentioning

confidence: 99%

Section: Mpcc Techniquementioning

confidence: 99%