Optimization of stand-alone photovoltaic system by implementing fuzzy logic MPPT controller

• Main Author: Hashim, Mokhtar
• Format: Thesis
• Language: English; English; English
• Published: 2013
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK1001-1841 Production of electric energy or power. Powerplants. Central stations
• Online Access: http://eprints.uthm.edu.my/1982/1/24p%20MOKHTAR%20HASHIM.pdf; http://eprints.uthm.edu.my/1982/2/MOKHTAR%20HASHIM%20COPYRIGHT%20DECLARATION.pdf; http://eprints.uthm.edu.my/1982/3/MOKHTAR%20HASHIM%20WATERMARK.pdf; http://eprints.uthm.edu.my/1982/

A photovoltaic (PV) generator is a nonlinear device having insolation-dependent volt-ampere characteristics. Since the maximum-power point varies with solar insolation, it is difficult to achieve an optimum matching that is valid for all insolation levels. Thus, Maximum power point tracking (MPPT) plays an important roles in photovoltaic (PV) power systems because it maximize the power output from a PV system for a given set of condition, and therefore maximize their array efficiency. This project presents a maximum power point tracker (MPPT) using Fuzzy Logic theory for a PV system. The work is focused on a comparative study between most conventional controller namely Perturb and Observe (P&O) algorithm and is compared to a design fuzzy logic controller (FLC). The introduction of fuzzy controller has given very good performance on whatever the parametric variation of the system.