Abstract

Based on the mathematical model of PV array and its output characteristics, a hybrid control strategy combining fixed step method and variable coefficient approximation method is proposed. The method is followed by a fixed step in the search of the maximum power point. When the slope of the PU curve changes for the first time, the search interval is fixed in an initial step, and then the search is gradually approximated to maximum power point in the section. The method is analyzed theoretically and modeled in Matlab / Simulink environment, and compared with the variable step perturbation observation method. The simulation results show that the proposed method can quickly and accurately track the maximum power point under the standard condition and the sudden change of light intensity, and has faster tracking speed.

Highlights

  • Traditional fossil energy consumption brought about environmental pollution, greenhouse effect and many other environmental problems, it has been a great threat to human survival and development

  • Based on the variable perturbation observation method, this paper proposes a hybrid control method combining fixed step method and variable coefficient continuous approximation method

  • In order to verify the validity of the fixed step method combined with the variable coefficient approximation method proposed in this paper, building a model based on Matlab / Simulink

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Summary

Introduction

Traditional fossil energy consumption brought about environmental pollution, greenhouse effect and many other environmental problems, it has been a great threat to human survival and development. The variable perturbation observation method is a kind of control algorithm that easy to implement and widely used, but the algorithm itself has some defects, including the optimization speed is slow, easy to oscillate at the maximum power point. According to the P-U characteristic curve of the PV array, it is known that when the slope is changed for the first time during the search, the search range can be fixed within an initial step range. In this range, the gradually approximation of the variable coefficients is performed. Compared with the perturbation observation method with slope as variable step size, the method has its advantages both in tracking speed and eliminating oscillation

The output curve of photovoltaic cells
Research on Maximum Power Point Algorithm
Mixed control strategy
M A4 A3 A2
Simulink Modeling of Maximum Power Tracking System
Simulation results analysis
Conclusion
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