Back to Search
Start Over
Fuzzy logic controller based maximum power point tracking and its optimal tuning in photovoltaic systems
- Source :
- Serbian Journal of Electrical Engineering, Vol 18, Iss 3, Pp 351-384 (2021)
- Publication Year :
- 2021
- Publisher :
- Faculty of Technical Sciences in Cacak, 2021.
-
Abstract
- 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=25ºC 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.
Details
- Language :
- English
- ISSN :
- 14514869 and 22177183
- Volume :
- 18
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Serbian Journal of Electrical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.69811408cf2e44d5b9252310f8b037b6
- Document Type :
- article
- Full Text :
- https://doi.org/10.2298/SJEE2103351B