Abstract

The maximum power point tracking (MPPT) is a strategy that allows imposing the PV array operation point on the maximum power point (MPP) or close to it under any environmental condition. The conventional incremental conductance (INC) algorithm is the most popular algorithm. But due to the fixed step size, its response speed is low under the rapid change of the solar irradiation level or load resistance. In this paper, a new MPPT technique is proposed to enhance the response speed. It consists of two stages: (1) the computing stage and (2) the regulating stage. The computing stage includes the coarse positioning operation and fine positioning operation. And an initial value of the duty cycle is generated in the computing stage, according to the characteristics of the DC-DC converter and the characteristics of the I‐V curve. The regulating stage regulates the duty cycle of the DC-DC converter with a small step size, which can improve the tracking efficiency. And the computing stage can enhance the response speed. A simulation comparison of the proposed MPPT technique with other techniques is carried out in MATLAB/Simulink under different scenarios. The simulation results reveal that the response of the proposed algorithm is 4.6 times faster than that of the INC under these scenarios, and the proposed algorithm has higher efficiency.

Highlights

  • The maximum power point tracking (MPPT) technique is used to ensure that the PV array always acts supplying the maximum power as possible, because of the nonlinear characteristics of the PV array [1, 2]

  • Many MPPT techniques have been presented and discussed in the literature [3,4,5,6,7]. They can be classified as the conventional MPPT techniques and advanced techniques

  • This paper finds the approximate value for the variable ISC or Impp in (17) and (18), according to the variation of the operating point during the variation in solar irradiation or load resistance

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Summary

Introduction

The MPPT technique is used to ensure that the PV array always acts supplying the maximum power as possible, because of the nonlinear characteristics of the PV array [1, 2]. The advanced techniques, including fuzzy logic [15], neural network [16], and evolutionary computation [17,18,19], can yield superior performance under the uniform solar irradiance and partially shaded conditions [6] They are hard to implement and rely heavily on precise settings of parameters [14, 20]. A new MPPT technique is proposed to track the MPP directly and suitable for the fast change of irradiation and load. It consists of two stages: (1) the computing stage and (2) the regulating stage.

PV Modeling and Characteristics
The New MPPT Technique with Boost Converter
A1 V A1
Results and Discussion
Conclusions
AW: PTA
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