Czasopismo | PRZEGLĄD ELEKTROTECHNICZNY | Rocznik 2024 - zeszyt 7

Novel Intelligent control of photovoltaic system using ANFIS Gravitational Search for MPPT controller

Nowatorskie inteligentne sterowanie systemem fotowoltaicznym z wykorzystaniem wyszukiwania grawitacyjnego ANFIS dla sterownika MPPT

10.15199/48.2024.07.22

nr katalogowy: 149523
10.15199/48.2024.07.22

Streszczenie

An MPPT (Maximum Power Point Tracking) controller is a crucial component in photovoltaic (PV) systems connected to the grid. It optimizes the power output of the PV panels by tracking the maximum power point (MPP) of the PV array and adjusting the operating conditions to extract the maximum available energy. ANFIS (Adaptive Neuro-Fuzzy Inference System) is a computational model that combines the principles of fuzzy logic and neural networks. It can be used as a control strategy for MPPT in photovoltaic systems. ANFIS-based MPPT controllers utilize the adaptive and learning capabilities of ANFIS to track the MPP of the PV array. In this regard, in this article, Investigation to MPPT controller of Microgrid using Gravitational Search Algorithm and ANFIS Controller

Abstract

Kontroler MPPT (Maximum Power Point Tracking) jest kluczowym elementem systemów fotowoltaicznych (PV) podłączonych do sieci. Optymalizuje on moc wyjściową paneli fotowoltaicznych poprzez śledzenie maksymalnego punktu mocy (MPP) macierzy fotowoltaicznej i dostosowywanie warunków pracy w celu uzyskania maksymalnej dostępnej energii. ANFIS (Adaptive Neuro-Fuzzy Inference System) to model obliczeniowy, który łączy w sobie zasady logiki rozmytej i sieci neuronowych. Może być stosowany jako strategia sterowania MPPT w systemach fotowoltaicznych. Kontrolery MPPT oparte na ANFIS wykorzystują zdolności adaptacyjne i uczenia się ANFIS do śledzenia MPP macierzy PV. W związku z tym w niniejszym artykule zbadano kontroler MPPT mikrosieci przy użyciu algorytmu wyszukiwania grawitacyjnego i kontrolera ANFIS.

Słowa kluczowe

Keywords

Bibliografia

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