Field Oriented Control of Doubly Fed Induction Generator Integrated in Wind Energy Conversion System using Artificial Neural Networks
| Autor: | Larabi Abdelkader, Barazane Linda, Zeghdi Zoubir |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Wind power
Vector control Artificial neural network business.industry Stator Computer science 020208 electrical & electronic engineering 02 engineering and technology AC power Variable speed wind turbine law.invention law Control theory Robustness (computer science) 0202 electrical engineering electronic engineering information engineering business Reference frame |
| Zdroj: | 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). |
| DOI: | 10.1109/cistem.2018.8613558 |
| Popis: | Nowadays, the Doubly Fed Induction Generator (DFIG) is increasingly used because of its advantages in better reliability and supply division. This paper presents the application of a simulation with a proposed model and control of a (DFIG) integrated into a wind energy conversion system with a variable speed wind turbine. Firstly, a mathematical model of the machine written in an appropriate d-q reference frame is proposed to investigate simulations. secondly, and in order to control the power flowing between the stator of the DFIG and the power network, a control law is synthesized using two types of controllers: Proportional-Integral (PI) controller and neural networks (NN) based controller. finally, their respective performances are compared in terms of power reference tracking and robustness against machine parameters variations. |
| Databáze: | OpenAIRE |
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