最大功率点跟踪
控制理论(社会学)
变量(数学)
电导
计算机科学
控制(管理)
数学
工程类
人工智能
电压
电气工程
数学分析
组合数学
逆变器
作者
Ning Han,Mengda Li,Hanghang Zhu,Guangyao Pei,Yueyue Sun
摘要
In order to make the best use of solar energy and ensure that solar cells are always working close to the point of maximum output, A MPPT algorithm combining the fixed voltage method and the conduction enhancement method of the eddy current function is proposed to solve the problem of balancing accuracy and tracking speed in the current MPPT algorithm. The algorithm first adopts the fixed voltage method maximum power point monitoring quickly at startup, and then to increase the tracking speed and steady-state accuracy, the following stages use the method of optimizing the conductivity gain by the inverse tangent function. In this paper, the simulation results are compared with the traditional incremental conductance method in the same environment. The simulation results show that the tracking time and accuracy of the fixed voltage method and the improved variable step conductance increment method before and after the illumination change are 0.011s and 0.04 s and tracking accuracy is 0.3% and 0.1% after the illumination change are respectively. The tracking time and accuracy of the traditional conductance increment method before and after light change are 0.015s and 1.6%, respectively, after light change is 0.25s and 1.6%. Therefore, the control strategy of the conductance increment method optimized based on the fixed voltage method and the inverse tangent function has faster tracking speed and steady state accuracy.
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