An international research team has introduced a groundbreaking hybrid maximum power point tracking (MPPT) technique designed for photovoltaic systems operating under variable conditions. This innovative algorithm combines the salp swarm algorithm (SSA) and hill climbing (HC) methods, optimizing energy extraction in fluctuating environments.ПрорывПрорыв
The SSA, inspired by the swarming behavior of salps in the ocean, effectively navigates toward optimal energy sources. In contrast, the HC method simulates a climbing process to identify the best positions for power extraction. Together, they allow for rapid adaptation to environmental changes, significantly improving tracking efficiency to 97.54%—outperforming other existing algorithms.
This research, involving scientists from Universiti Malaysia Perlis, Aswan University (Egypt), Chaitanya Bharathi Institute of Technology (India), and Yuan Ze University (Taiwan), was published in Nature Communications. The hybrid SSA-HC algorithm promises to enhance the reliability and robustness of energy systems, paving the way for more efficient marine energy solutions.