Adaptive fuzzy control of hybrid PV/fuel cell and battery system using three-level t type inverter

• Autorzy: Koulali Mostefa , Negadi Karim , Mankour Mohamed , Mezouar Abdelkader , Berkani Abderrahmane , Boumediene Bachir

Identyfikatory

DOI

10.15199/48.2019.12.05

Warianty tytułu

PL

Adaptacyjny algorytm sterowania hybrydowym systemem wytwarzania energii wykorzystujący falownik typu T i logikę rozmytą

• Języki publikacji: EN

Abstrakty

EN

This work deals with the study of an electrical energy production system made up of three sources of energy: photovoltaic energy, a fuel cell and a battery. The optimization of this hybrid production system is ensured by the control of each part. The hybrid system chain also contains a three level T type inverter that improves the quality of energy injected into the alternating load and consequently reduces the harmonic rate. The Renewable Energy Management System provides a global overview of the performance of the hybrid system and allows for a quick analysis to understand the root causes of a problem, an improvement in efficiency through a comparison of power curves as well as a visualization of trends in production. The considered system was implemented in the Matlab / Simulink, the results show the effectiveness of the proposed method. In order to optimize the power flow in the different parts of the production line, an energy management algorithm is developed in order to mitigate the fluctuations of the load. To analyze our approach, a prototype is modelled, simulated with Matlab / simulink and can be realized in an experimental test bench.

PL

Praca dotyczy badania systemu produkcji energii elektrycznej złożonego z trzech źródeł energii: energii fotowoltaicznej, ogniwa paliwowego i baterii. Optymalizację tego hybrydowego systemu produkcji zapewnia kontrola każdej części. Łańcuch systemu hybrydowego zawiera falownik T trzeciego poziomu, który poprawia jakość energii w przemiennym obciążeniu i zmniejsza częstotliwość harmonicznych. System zarządzania energią odnawialną zapewnia kompleksowy obraz wydajności systemu hybrydowego i pozwala na szybką analizę przyczyn problemu, poprawę wydajności poprzez porównanie mocy i wizualizacji trendów produkcyjnych. . Rozważany system został zaimplementowany w Matlab / Simulink, wyniki pokazują skuteczność proponowanej metody. Aby zoptymalizować przepływ mocy linii produkcyjnej, opracowano algorytm zarządzania energią w celu zmniejszenia wahań obciążenia. Aby przeanalizować nasze podejście, modeluje się prototyp, symuluje za pomocą Matlab / simulink i można go zrealizować w eksperymentalnej ławce testowej.

Słowa kluczowe

EN

fuell cell; photovoltaic PV; battery; hybrid system; three level t type inverter; adaptive fuzzy logic control

PL

ogniwo; fotowoltaiczne PV; akumulator; układ hybrydowy; trójpoziomowy falownik typu T; adaptacyjne sterowanie rozmyte

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 12
• Strony: 25--31
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Koulali Mostefa

• University Tahar Moulay of Saida, Adresse:BP 138 cité ENNASR 20000, Saida, Algeria

autor

Negadi Karim

• Laboratory of Energy and Computer Engineering L2GEGI, Department of Electrical Engineering, Faculty of Sciences Applied, University Ibn Khaldoun of Tiaret, BP 78 Size Zarroura, Tiaret 14000, Algeria

autor

Mankour Mohamed

• Electrotechnical Engineering Laboratory, University Tahar Moulay of Saida, Adresse: BP 138 cité ENNASR 20000, Saida, Algeria

autor

Mezouar Abdelkader

• Electrotechnical Engineering Laboratory, University Tahar Moulay of Saida, Adresse:BP 138 cité ENNASR 20000, Saida, Algeria, Algeria

autor

Berkani Abderrahmane

• Laboratory of Energy and Computer Engineering L2GEGI, Department of Electrical Engineering, Faculty of Sciences Applied, University Ibn Khaldoun of Tiaret, BP 78 Size Zarroura, Tiaret 14000, Algeria

autor

Boumediene Bachir

• Laboratory of Energy and Computer Engineering L2GEGI, Department of Electrical Engineering, Faculty of Sciences Applied, University Ibn Khaldoun of Tiaret, BP 78 Size Zarroura, Tiaret 14000, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).