Soft Computing Approaches for Maximum Power Point Tracking of Solar PV System
Artificial Bee Colony Optimization; Cascaded DC/DC Converter; Flying Squirrel Search Optimization; Maximum Power Point Tracking Technique; Photovoltaic System
Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system. 2023 Praise Worthy Prize S.r.l.-All rights reserved.
International Review of Electrical Engineering, Vol-18, No. 6, pp. 430-438.
https://doi.org/10.15866/iree.v18i6.23759 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188993210&doi=10.15866%2firee.v18i6.23759&partnerID=40&md5=c8b21bc98f6685708ec7fe69110c3586
Radhika S., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India; Margaret V., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India