A photovoltaic maximum power point tracking method based on predictive initialization and adaptive attenuation sparrow search
By employing a predictive initialization and adaptive decay sparrow search method, the problems of large search range and slow convergence speed of photovoltaic maximum power point tracking methods in dynamic environments are solved, achieving fast and stable maximum power point tracking and improving the operational stability and tracking accuracy of photovoltaic systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAMEN UNIV
- Filing Date
- 2026-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing photovoltaic maximum power point tracking methods struggle to adjust quickly when light intensity or temperature changes rapidly, leading to judgment lag, repeated changes in adjustment direction, and oscillations near the maximum power point. Furthermore, conventional sparrow search algorithms have a large initial search range and long convergence time, affecting steady-state tracking performance.
The local search range of the photovoltaic system is determined by predictive initialization, and an adaptive decay mechanism is introduced during the sparrow search process. The initial search range is narrowed by using the photovoltaic output state and the direction of disturbance to judge the results. The individual update step size is adjusted by the adaptive decay factor that decreases with the number of iterations, thereby improving search efficiency and steady-state stability.
It enables rapid and accurate tracking of the maximum power point in dynamic environments, reduces invalid searches, shortens re-optimization time, and improves the operational stability and tracking accuracy of photovoltaic systems.
Smart Images
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