Title :
An intelligent search algorithm for the maximum power point of a photovoltaic system in fast-changing environmental conditions
Author :
Low, K.-S. ; Nguyen, T.L. ; Soon, J.J.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This paper presents a novel maximum power point tracking (MPPT) algorithm that is optimized for a photovoltaic (PV) system under rapid changes in environmental conditions. This new approach employs the dividing rectangles (DIRECT) algorithm to improve both the speed and accuracy simultaneously, which is the contradiction in conventional methods such as “Perturb and Observe” (P&O) and Incremental Conductance (INC) schemes. This is particularly important for systems that frequently experience rapidly changing environmental conditions. To validate the performance of the proposed scheme, both simulation and experimental studies have been conducted. The results have shown that the new approach outperforms the conventional algorithms.
Keywords :
maximum power point trackers; photovoltaic power systems; search problems; DIRECT algorithm; MPPT algorithm; PV system; dividing rectangle algorithm; fast-changing environmental conditions; incremental conductance scheme; intelligent search algorithm; maximum power point tracking algorithm; perturb-observe scheme; photovoltaic system; Sensors; DIRECT algorithm; Intelligent signal processing; maximum power point tracking (MPPT); photovoltaic systems;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on
Conference_Location :
Chiang Mai
Print_ISBN :
978-1-4577-2165-6
DOI :
10.1109/ISPACS.2011.6146143