Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
| Autor: | Thameur Abdelkrim, Maissa Farhat, Fares Boudjema, Boualam Benlahbib, Noureddine Bouarroudj, Djamel Boukhetala, Vicente Feliu-Batlle |
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| Rok vydání: | 2021 |
| Předmět: |
Normalization (statistics)
Computer Networks and Communications Computer science Mechanical Engineering pso Photovoltaic system flc-mppt Energy Engineering and Power Technology flcmppt-pso Fuzzy logic Maximum power point tracking TK1-9971 Power (physics) flc pv system Hardware and Architecture Control and Systems Engineering Robustness (computer science) Control theory mppt Boost converter boost converter Electrical engineering. Electronics. Nuclear engineering Electrical and Electronic Engineering |
| Zdroj: | Serbian Journal of Electrical Engineering, Vol 18, Iss 3, Pp 351-384 (2021) |
| ISSN: | 2217-7183 1451-4869 |
| Popis: | Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a particles swarm optimization algorithm (PSO) in order to maximize the criterion based on the integration of the PV module power under standard temperature condition (STC) (T=25?C and S=1000 W/m2). The robustness test of the optimized fuzzy logic MPPT controller (FLC-MPPT) is carried out under different scenarios. Simulation results of the system clearly show that the proposed optimized FLCMPPT controller outperforms in terms of maximum efficiency the FLC-MPPT controller not optimized, the FLC-MPPT controller with optimized normalization gains and the FLC-MPPT controller with optimized normalization gains and membership functions. |
| Databáze: | OpenAIRE |
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