Optimization of PI controller using ant colony algorithm for wind turbine system

• Autorzy: Jaikhang Wipobh , Chanjira Puchong

Identyfikatory

DOI

10.15199/48.2024.10.11

Warianty tytułu

PL

Optymalizacja regulatora PI przy użyciu algorytmu kolonii mrówek dla systemu turbin wiatrowych

• Języki publikacji: EN

Abstrakty

EN

The classical PI controller is applied for wind turbine, however it is the more concrete and specific algorithm. An ant colony optimization (ACO) is one of a modern metaheuristic for optimal tuning the gain of the controller. This paper designs and investigates the wind turbine system which is connected to grid system through the boot converter circuit driven by permanent magnet synchronous generator (PMSG) By regulating PI controller, ACO is used to optimize the gains. The simulation results show that an overshoot and lifetime of design is less. As a results, ACO method is able to optimize the gain of PI controller to regulate the active power and reactive power for booting up the high DC voltage of the wind turbine for grid connected, effectively.

PL

Klasyczny regulator PI jest stosowany do turbin wiatrowych, jednak jest to bardziej konkretny i szczegółowy algorytm. Optymalizacja kolonii mrówek (ACO) jest jedną z nowoczesnych metaheurystyk do optymalnego dostrojenia wzmocnienia regulatora. W tym artykule zaprojektowano i zbadano system turbiny wiatrowej, który jest podłączony do sieci za pośrednictwem obwodu przetwornicy rozruchowej napędzanej przez generator synchroniczny z magnesami trwałymi (PMSG). Poprzez regulację regulatora PI, ACO jest używane do optymalizacji wzmocnień. Wyniki symulacji pokazują, że przeregulowanie i żywotność projektu są mniejsze. W rezultacie metoda ACO jest w stanie zoptymalizować wzmocnienie regulatora PI w celu regulacji mocy czynnej i biernej w celu uruchomienia wysokiego napięcia stałego turbiny wiatrowej podłączonej do sieci, skutecznie.

Słowa kluczowe

EN

PI controller; ant colony; wind turbine; PMSG

PL

sterownik PI; kolonia mrówek; turbina wiatrowa; PMSG

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 10
• Strony: 64--68
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Jaikhang Wipobh

• Faculty of Industrial Technology Chiang Rai Rajabhat University

• https://orcid.org/0000-0001-9785

autor

Chanjira Puchong

• Faculty of industrial education, Srinakharinwirot University

• https://orcid.org/0000-0002-4842-3876

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).