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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&amp;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&amp;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&amp;O-based MPP technique is showing along with cases as diagonal &amp; column-based shading patterns and irradiance change conditions under several PSCs. The 2F-P&amp;O with FOPI-based technique compared with traditional P&amp;O, Artificial neural network and Particle swarm optimisation. Moreover, from the comparative analysis, 2F-P&amp;O has higher efficiency, fewer oscillations and convergence time. This paper is validated using the Opal-RT simulator and MATLAB/Simulink Software.

international journal of ambient energy

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