Abstract
Photovoltaic energy is a renewable source of clean and attractive energy compared to conventional energy sources. Photovoltaic panels (PV) have a non-linear I-V characteristic that depends on climatic conditions. In order to operate the photovoltaic modules at their maximum power point (PMM), MPPT algorithms are developing in order to extract the maximum energy. The Perturb and Observe (P & O) technique is widely used in photovoltaic systems because of its simplicity but remains vulnerable to sudden changes in weather conditions. In this paper, a new multi-objective MPPT algorithm combining three techniques: MPPT type (P & O), fractional short-circuits current (FSCC) and fractional open circuit voltage technique (FOCV) is proposed. This multi-objective algorithm improves the performance of conventional MPPT (P & O). A variable pitch perturbation and detection of sudden changes in illumination and / or temperature levels allows better stabilization of the duty cycle once the PPM is reaching. The proposed algorithm is testing by Matlab/Simulink and the results obtained are compared with experimental results using Arduino Uno microcontroller and appropriate sensors.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal on Energy Conversion (IRECON)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
