A novel maximum power point tracking strategy based on optimal voltage control for photovoltaic systems under variable environmental conditions
A novel maximum power point tracking strategy based on optimal voltage control for photovoltaic systems under variable environmental conditions
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DOI：
10.1016/j.solener.2015.09.040
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发表时间：
2015-12
期刊：
影响因子：
6.7
通讯作者：
Jian Zhao;Xuesong Zhou;Youjie Ma;W. Liu
中科院分区：
文献类型：
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作者：
Jian Zhao;Xuesong Zhou;Youjie Ma;W. Liu
从工程控制论的角度来看，确定太阳能电池的输出电压对应的最大功率点（MPP）在可变的温度和照射条件下是必不可少的跟踪最大功率点。然而，传统的方法不能有效地实现这一目标，并且在控制过程中不存在利用这些信息的方法，包括MPP处的输出电压和占空比。提出了一种新的最大功率点跟踪（MPPT）控制参数优化方法。结果表明，在MPP的太阳能电池的输出电压的可变的环境参数之间的一个可定义的非线性关系的理论和实验。此外，本研究给出了它的数学表达式。然后，MPPT控制规则的基础上，从一个非线性的关系，可以在高速响应的变化，在辐照和太阳能电池的温度的发现。根据这种关系，我们发现MPP的输出电压在一定范围内对辐照度具有鲁棒性，这为实验中辐照度的选择提供了指导。因此，MATLAB®/Simulink®的数值仿真表明，这种控制算法可以实现光伏发电系统的MPP，即使在低太阳辐射条件下，有效地。
From the engineering cybernetics perspective, determining the output voltage of a solar cell corresponding to the maximum power point (MPP) under variable temperature and irradiation conditions is essential for tracking the maximum power point. However, conventional methods could not effectively achieve this goal, and approaches for utilizing this information do not exist, including the output voltage and duty cycle at MPP, in the control process. This paper describes a novel method for maximum power point tracking (MPPT) control in parameter optimization corresponding to variable environmental conditions. The results show a definable nonlinear relation between variable environmental parameters and the output voltage of a solar cell at MPP both theoretically and experimentally. Additionally, this research gives the mathematical expression for it. Then, MPPT control rules are created based on the findings from a nonlinear relation that can respond at high speeds to variations in irradiation and the temperature of a solar cell. In view of this relationship, we found that the output voltage at MPP is robust to irradiance in a certain range, and this directs the choices of irradiance in experiments. Therefore, MATLAB®/Simulink® numerical simulations are presented to illustrate that this control algorithm can implement the MPP of a PV generation system efficiently even in the low solar irradiation condition.