Maximum Power Point Tracking Simulation for Photovoltaic Systems Using Perturb and Observe Algorithm
Abubakari Sadick
Abstract
This chapter discusses the modeling, analysis, and simulation approaches of a maximum power point tracker (MPPT) using perturb and observe algorithm of a photovoltaic (PV) system. In photovoltaic systems, maximum power point tracking (MPPT) is crucial because it maximizes the power production from a PV system under specific conditions, hence increasing array efficiency and lowering system costs. Appropriate algorithms must be used to track the maximum power point (MPP) and maintain the system’s operation in it because the MPP varies depending on the irradiation and cell temperature. This paper presents the mathematical modeling procedures for the PV system and the DC-DC boost converter and also introduces the theories of PV systems and MPPT techniques. A step-by-step procedure, modeling, and analysis of perturb and observe are explained in this paper using MATLAB/Simulink software. A photovoltaic system with the P&O algorithm and a photovoltaic system without the P&O algorithm were simulated and tested around different environmental conditions. Their performance is evaluated and compared through theoretical analysis and digital simulation based on response time and efficiency under varying irradiance and temperature condition using MATLAB/Simulink. The PV with the MPPT algorithm outperforms the PV without MPPT in terms of proficiency and accuracy. Under both stable and changing weather situations, it displays the ideal efficiency and response time.