Work

Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system

Year: 2020

Type: article

Abstract: In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijpeds.v11.i2.pp1065-1073

Authors: Lotfi Farah, Adel Haddouche, Ali Haddouche

Institutions: Badji Mokhtar-Annaba University, Université Larbi Tébessi

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W2990963448

FWCI: 1.35

Cites: 21

Cited by: 43

Related to: 10