Optimizing Photovoltaic Systems with an Incremental Conductance Algorithm

• Published in: 14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings
• Main Author: Yahaya M.H.H.; Samat A.A.A.; Muhamad S.M.; Azari M.N.A.N.; Idin M.A.M.; Jumidali M.M.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207092732&doi=10.1109%2fICCSCE61582.2024.10696783&partnerID=40&md5=9fc6ff3b07198df6ec9c085aaf9f73fd

The primary objective of this study is to develop and evaluate an Incremental Conductance (InC) technique for Maximum Power Point Tracking (MPPT), in conjunction with a boost converter, to enhance the power generation efficiency of photovoltaic (PV) systems. The research aims to evaluate the performance of the InC technique under different amounts of sunlight to replicate real-world situations. The objective is to identify and improve the disadvantages of traditional MPPT approaches by developing a more flexible and responsive approach to environmental fluctuations. The project utilises MATLAB/Simulink to simulate a dynamic system that regulates a DC-DC boost converter's duty cycle to optimise power output. The core findings demonstrate significant improvements in efficiency and flexibility, as the InC MPPT technique effectively tracks the maximum power point (MPP) and keeps consistent performance despite varying conditions. This indicates the potential for improved dependability and durability in photovoltaic installations, promoting broader use in renewable energy initiatives. © 2024 IEEE.