An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions

• Main Authors: D. J., Krishna Kishore, M. R., Mohamed, K., Sudhakar, K., Peddakapu
• Format: Conference or Workshop Item
• Language: English
• Published: Institute of Physics 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/35436/1/An%20improved%20grey%20wolf%20optimization%20based%20MPPT%20algorithm%20for%20photovoltaic%20systems.pdf; http://umpir.ump.edu.my/id/eprint/35436/; https://doi.org/10.1088/1742-6596/2312/1/012063

The photovoltaic (PV) systems are performing a substantial role in electric power systems for generating electrical power in various uncertain circumstances. Nonetheless, the PV systems face numerous challenges for power production in the event of partial conditions. Moreover, different types of multiple peak power points (MPPP) are generated in the characteristics of the PV system under diverse partial patterns. The MPPP's having only one global maximum peak power (GMPP) and the remaining are local peak PowerPoints (LPPP), in which LPPP are interrupted to grab maximum power. Hence, improved grey wolf optimization (I-GWO) approach is developed in this work for enriching the required power generation at partial conditions. The proposed system has been designed in the MATLAB/Simulink environment. As per the simulation findings, the suggested I-GWO demonstrates great performance with regards to tracking time, accuracy, and efficiency as compared with other studied algorithms.