Bounded region for tracking by two fuzzy rules-based perturb and observe technique with fractional order-based proportional integral controller for a photovoltaic conversion system

Abstract

Maximum power from the PV system is tracked by using Maximum power point (MPP) tracking techniques. In this paper the Two fuzzy rules-based perturb and observed (2F-P&O) with a fractional order-based PI (FOPI) controller is developed to track the global MPP under Partial shading conditions (PSCs). The two rules-based fuzzy systems are implemented to provide the voltage boundaries under which the P&O starts to track GMP. A FOPI controller is used to minimise the error and gives an accurate response under PSCs. The performance analysis of the 2F-P&O-based MPP technique is showing along with cases as diagonal & column-based shading patterns and irradiance change conditions under several PSCs. The 2F-P&O with FOPI-based technique compared with traditional P&O, Artificial neural network and Particle swarm optimisation. Moreover, from the comparative analysis, 2F-P&O has higher efficiency, fewer oscillations and convergence time. This paper is validated using the Opal-RT simulator and MATLAB/Simulink Software.

KEYWORDS:

• Maximum power point tracking (MPPT)
• boost converter
• partial shading conditions (PSCs)
• global maximum power point (GMPP)
• perturb and observe (P&O)
• fuzzy logic controller (FLC)

Disclosure statement

No potential conflict of interest was reported by the author(s).