Modeling and Designing a Deadbeat Power Control for Doubly-Fed Induction Generator

Filho, Alfeu J. Sguarezi; Ruppert, Ernesto

doi:10.5772/16496

Cited by 3 publications

(1 citation statement)

References 13 publications

(8 reference statements)

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“…For this reason, it is necessary to convert the system's continuous-time (CT) representation, presented in Equation (11), to the DT representation presented in Equation ( 12). This discretization is accomplished through the application of the transformation shown in Set Equation (13) [30][31][32][33] .…”

Section: Discrete-time Presentationmentioning

confidence: 99%

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

et al. 2021

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The purpose of this study is to design a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator and a test bench for assessing control strategies were conceptualized. The DSPACE DS1104 board served as the foundation for the design of a wind emulation system. While power is indirectly regulated via currents, the latter is controlled directly by current predictive control. Using discrete time, the control suggests the appropriate voltages to the converter for each sample period to attain the specified set points and control the power. The field-oriented control is employed to ensure that the two components, axes d and q, are decoupled. The present predictive control was established to regulate a DFIG’s active and reactive capabilities. To begin, a thorough examination of the WECS is discussed. Following that, a comprehensive description of predictive control laws based on reference frame orientation is offered. As a result, a simulation was done using Matlab/Simulink environments to assess the performance and resilience of the proposed control model. The predictive current control was then experimentally validated on a test bench to demonstrate its efficacy. The observed results reveal an astonishing correlation between simulations and experiments.

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Section: Discrete-time Presentationmentioning

confidence: 99%

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

et al. 2021

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Comparison of the Performmance of DTC of Induction Gen Nerator in Wind Energy Conversion System with PI and Neurral Controllers

Rao¹,

Laxmi²

2012

AASRI Procedia

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Statistical analysis of the amount of the power generated by the wind power plant, according to weather conditions

Łatka

Nowak

2017

ELECTROTECHNICAL REVIEW

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The article presents the results of a statistical analysis, which was done using the Statistica program. The purpose of this analysis is to show, which atmospheric conditions have an influence on generated power in wind farms. The degree of this influence was also determined. The analysis was based on data, from a real wind farm-located in Poland. Streszczenie. W artykule przedstawiono wyniki analizy statystycznej wykonanej z wykorzystaniem programu Statistica mającej na celu pokazanie, które z warunków atmosferycznych i w jakim stopniu mają wpływ na wielkość mocy generowanej przez farmę wiatrową. Analiza została przeprowadzona w oparciu o dane pomiarowe pochodzące z rzeczywistego obiektu-pracującej na terenie Polski dużej farmy wiatrowej. (Analiza statystyczna wielkości mocy generowanej przez elektrownię wiatrową z uwzględnieniem warunków atmosferycznych)

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Modeling and Designing a Deadbeat Power Control for Doubly-Fed Induction Generator

Cited by 3 publications

References 13 publications

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

Comparison of the Performmance of DTC of Induction Gen Nerator in Wind Energy Conversion System with PI and Neurral Controllers

Statistical analysis of the amount of the power generated by the wind power plant, according to weather conditions

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