Improved MPPT technology for PV systems using Social Spider optimization (SSO): Efficient handling of partial shading and load variations
Koshkarbay N. Mohammed K.K. Mekhilef S. Kuttybay N. Almen D. Saymbetov A. Nurgaliyev M.
October 2025Elsevier Ltd
Electric Power Systems Research
2025#247
Photovoltaic (PV) systems are a key renewable energy source, but weather variability poses challenges in maximizing solar power capture, particularly under partial shading conditions (PSC), which cause local peaks and global peak. Various optimization strategies for tracking the global point have been proposed. While the complexity of the method, the number of tuning parameters, the convergence speed, and the fluctuations in load are the major drawbacks of these optimization techniques. This work proposes an enhanced Social Spider Optimization (ISSO) technique that improves the convergence speed towards the maximum power point. Furthermore, a novel method has been developed to improve speed response during load changes and can be implemented with all DC-DC converters. Different types of sophisticated partial shading conditions were tested using a SEPIC converter with a sample time of 0.05 s. According to the obtained results, the suggested ISSO approach has shown the excellent performance, with 0.63 s of average tracking time under various types of weather conditions and an efficiency of 99.97%. Moreover, a comparison is carried out to compare the proposed technique with current metaheuristic approaches. While the results demonstrates the effectiveness of the suggested algorithm regarding rapid tracking and improved efficiency.
Maximum power point tracking (MPPT) , Metaheuristic algorithm , Partial shading condition , SEPIC converter
Text of the article Перейти на текст статьи
Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 Al-Farabi, Almaty, 050040, Kazakhstan
Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia
School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, 3122, VIC, Australia
Faculty of Physics and Technology
Power Electronics and Renewable Energy Research Laboratory
School of Science
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026