An improved search ability of particle swarm optimization algorithm for tracking maximum power point under shading conditions

• Date: 2022
• Main Authors: Saeed, H., Mehmood, T., Khan, F. A., Shah, M. S., Ullah, M. F., Ali, H.
• Format: Article
• Language: English
• Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2022
• Subjects: conventional particle swarm optimization; maximum power point; opposition based particle swarm optimization algorithm
• Online Access: https://eie.khpi.edu.ua/article/view/254744
• Journal Title: Electrical Engineering & Electromechanics

Introduction. Extracting maximum possible power from solar energy is a hot topic of the day as other sources have become costly and lead to pollution. Problem. Dependency on sunlight for power generation makes it unfeasible to extract maximum power. Environmental conditions like shading, partial sha...