Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256131" target="_blank" >RIV/61989100:27240/24:10256131 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27730/24:10256131

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2590123024018000" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590123024018000</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rineng.2024.103557" target="_blank" >10.1016/j.rineng.2024.103557</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators

Popis výsledku v původním jazyce

This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct Power Control), aimed at significantly improving the performance of wind turbines using Doubly Fed Induction Generators (DFIGs). This innovative method overcomes the limitations of traditional Direct Power Control (DPC) by incorporating fuzzy logic to mitigate power fluctuations and reduce total harmonic distortion (THD) in grid currents. The novelty of F12-DPC lies in its ability to precisely control both active and local compensated reactive powers, optimizing energy exchange with the AC grid across various operational modes. Extensive simulations under different wind conditions demonstrate the superiority of F12-DPC over conventional DPC (C-DPC) techniques. It reduces active power variations by up to 72.7% and reactive power variations by 79.2%, while significantly lowering grid current THD-from 6.26% to 1.47% in super-synchronous mode, 6.42% to 2.09% in synchronous mode, and 8.74% to 2.15% in sub-synchronous mode. The simplicity and robustness of F12-DPC make it a breakthrough solution for enhancing wind energy conversion system efficiency and promoting seamless grid integration.

Název v anglickém jazyce

Fuzzy Logic-Enhanced Direct Power Control for Wind Turbines with Doubly Fed Induction Generators

Popis výsledku anglicky

This paper introduces a novel approach, F12-DPC (Fuzzy Logic-based 12-sector Direct Power Control), aimed at significantly improving the performance of wind turbines using Doubly Fed Induction Generators (DFIGs). This innovative method overcomes the limitations of traditional Direct Power Control (DPC) by incorporating fuzzy logic to mitigate power fluctuations and reduce total harmonic distortion (THD) in grid currents. The novelty of F12-DPC lies in its ability to precisely control both active and local compensated reactive powers, optimizing energy exchange with the AC grid across various operational modes. Extensive simulations under different wind conditions demonstrate the superiority of F12-DPC over conventional DPC (C-DPC) techniques. It reduces active power variations by up to 72.7% and reactive power variations by 79.2%, while significantly lowering grid current THD-from 6.26% to 1.47% in super-synchronous mode, 6.42% to 2.09% in synchronous mode, and 8.74% to 2.15% in sub-synchronous mode. The simplicity and robustness of F12-DPC make it a breakthrough solution for enhancing wind energy conversion system efficiency and promoting seamless grid integration.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Results in Engineering

ISSN

2590-1230

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

24 October 2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

001375191200001

EID výsledku v databázi Scopus

2-s2.0-85211068879