A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application

Li, Xingshuo ORCID: 0000-0002-1262-406X, Wen, Huiqing, Hu, Yihua ORCID: 0000-0002-1007-1617 and Jiang, Lin ORCID: 0000-0001-6531-2791 (2019) A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application. RENEWABLE ENERGY, 130. pp. 416-427.

Text 2018_FLC(1).pdf - Author Accepted Manuscript Download (4MB)

Abstract

In this paper, a novel beta parameter three-input one-output fuzzy-logic based maximum power point tracking (MPPT) algorithm is presented for the photovoltaic (PV) system application. The conventional fuzzy-logic controllers (FLCs) exhibit obvious limitations such as their dependence on the user's knowledge about the system and complicated rules. Furthermore, they show inherent dilemma between the rules number of FLC and the universality for various operating conditions, which is revealed and explained with details in this paper. Thus, a novel FLC is proposed by introducing a third input: an intermediate variable β. It can simplify the fuzzy rule membership functions and cover wider operating conditions. The dependence on the user's knowledge about the system is reduced. The converging speed for transients is improved and oscillations around the MPPs are completely eliminated compared with conventional MPPT methods. Typical operation conditions such as varying solar irradiation and load resistance are tested for fair comparison of various algorithms. An experimental prototype was designed and main experimental results were presented to verify the advantages of the proposed algorithm.

Item Type:	Article
Uncontrolled Keywords:	Photovoltaic (PV) system, Maximum power point tracking (MPPT), Fuzzy logic controller(FLC), Beta parameter, Zero oscillation
Depositing User:	Symplectic Admin
Date Deposited:	14 Nov 2018 10:54
Last Modified:	19 Jan 2023 01:30
DOI:	10.1016/j.renene.2018.06.071
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3024283