Dynamic thermoelectric maximum power tracking method based on improved flying mouse search algorithm

• Main Authors: DU BANGHUA, YANG WENLONG, YANG YANG, XIE CHANGJUN, CHEN YIFENG, XU AOQI, ZHU WENCHAO
• Format: Patent
• Language: Chinese; English
• Published: 05.09.2023
• Subjects: CONTROLLING; PHYSICS; REGULATING; SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES

The invention relates to a dynamic thermoelectric maximum power tracking method based on an improved flying mouse search algorithm, and solves the problem that the existing maximum power point tracking algorithm is easy to fall into oscillation search when the temperature of a thermoelectric power generation module is continuously changed, so that the power generation efficiency is low. Compared with a traditional flying mouse optimization algorithm, the method improves the tracking effect of the thermoelectric maximum power of the thermoelectric power generation module by setting dynamic parameters, modifies a predator mechanism, avoids falling into a local maximum power point, and improves the convergence speed. Unnecessary steady-state oscillation is avoided by setting an iteration termination condition, and the efficiency of the whole system is improved. By setting a dual-mode response mechanism, the problem of large power oscillation caused by frequent restart of a traditional intelligent algorithm under