Observer-based Complete DFIG Wind Turbine Control
| Autor: | Mohamed Makhad, Eric Akpoviroro Obar, Oluwaseun Simon Adekanle, Hicham Bahri |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Crowbar Observer (quantum physics) Computer science 020209 energy 02 engineering and technology Turbine Fuzzy logic Maximum power point tracking Power (physics) 020901 industrial engineering & automation Control theory Adaptive system 0202 electrical engineering electronic engineering information engineering MRAS |
| Zdroj: | 2020 International Conference on Electrical and Information Technologies (ICEIT). |
| DOI: | 10.1109/iceit48248.2020.9113224 |
| Popis: | This paper proposes a novel Doubly Fed Induction Generator (DFIG) control approach using an optimized set of observers. Firstly, an Adaptive Disturbance Rejection Scheme (ADRS) based on a Model Reference Adaptive System (MRAS) observer is applied to estimate generator speed. Secondly, a Fuzzy Logic MPPT controller is designed to optimized power conversion. Finally to achieve the overall sensor-less control, speed, current and DC-voltage control laws are achieved using a novel version of ADRS while taking into account the power loss in the system. The technique is evaluated for a 1.5MW DFIG under grid voltage dip and parameter variation and compared with the conventional PI-controller. |
| Databáze: | OpenAIRE |
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