The paper presents a technique used to optimize extraction of solar power from photovoltaic (PV) system. To increase efficiency, photovoltaic system uses a Maximum Power Point Tracking system (MPPT) which continuously extracts the maximum possible power from solar panel and deliver it to the load. The MPPT maintains the operation of MPP using various tracking algorithm. The existing systems have many drawbacks in terms of efficiency, flexibility, and accuracy. The objective of this paper is to design and implement a fuzzy logic based MPPT techniques. Fuzzy logic naturally deals with non-linearities and offers higher controller. The model consists of PV panel, a dc-dc converter ie, boost converter and a fuzzy logic based MPPT controller. The fuzzy logic controller is implemented using conventional MPPT techniques such as fuzzy based hill climb technique and fuzzy based incremental conductance technique and comparative results are presented with conventional techniques. The current technique shows improved performance with less oscillation at MPP, fast setting time and sensitivity in parameter variation. The results shows that a significant amount of additional energy can be extracted from a photovoltaic module by using a fuzzy logic based maximum power point tracking system. The results provide better efficiency for the operation which is highly suitable for standalone systems.
Solar PV system, MPPT, Fuzzy logic based MPPT, Boost converter, Hill Climb Technique, Incremental conductance Technique.
Irene Camilla A; M. Muthuselvi, Fuzzy Logic Based Maximum Power Point Tracking for Standalone Photovoltaic System, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 14, April 2015, eISSN: 2321-1814, ISBN (Print): 978-1-62951-946-3.