Grid-connected Photovoltaic System with Maximum Power Point Tracking using Self-Organizing Fuzzy Logic Controller

• Published in: 2005 International Conference on Power Electronics and Drives Systems Vol. 1; pp. 517 - 521
• Main Authors: Khaehintung, N., Kangsajian, C., Sirisuk, P., Kunakorn, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: component; Control systems; Energy conversion; Fuzzy control; Fuzzy logic; grid-connected photovoltaic energy conversion system; Inverters; maximum power point tracking; Optimal control; Photovoltaic systems; Power engineering and energy; self-organizing fuzzy logic controller; Solar power generation; Table lookup
• ISBN: 0780392965; 9780780392960
• ISSN: 2164-5256
• DOI: 10.1109/PEDS.2005.1619741

This paper presents the design of a controller for the maximum power point tracking of a grid-connected photovoltaic energy conversion system. A boost converter is used in the system to deliver the output from the solar array to DC-AC inverter, and feed the power into the AC grid. A self-organizing fuzzy logic controller is introduced for the tracking algorithm. The duty ratio for the operation of the boost converter is optimally adjusted in such a way that the maximum power point, which normally varies according to the environment, can be achieved. We demonstrate via the simulation results that our proposed technique outperforms over the conventional fuzzy logic controller in terms of tracking speed and transient response. Furthermore, the algorithm implementation can be done using a look-up table, hence a high-performance, cost-effective real-time maximum power point tracking can be simply realized