基于AVR单片机的全自动光伏水泵系统
发布时间：2019-07-26 16:01
【摘要】：为探究一种新型的自适应最大功率跟踪算法,提出了基于AVR单片机的光伏水泵系统控制结构.将遗传算法与占空比扰动观察法(PO)相结合,根据遗传算法的原理计算推导出DCAC变换器的占空比,可以实现快速搜索到光伏水泵系统的最大功率跟踪点,以克服外界环境的剧烈变化对控制器造成的干扰.通过Simulink环境下的仿真试验,验证了基于遗传算法实现的MPPT方法具有良好的自适应性以及稳定性.在光伏水泵系统的试验平台上进行相关的抽水试验,结果表明:建立于遗传算法进而实现MPPT算法而设计的系统,对于外界不断的气候变化,该光伏水泵系统都可以较好地应对,综合效率基本稳定在60%以上.所开发的系统可以实现对水泵负载的可靠控制,系统工作稳定,整体效率较高,为光伏水泵系统的优化控制提供了参考.
[Abstract]:In order to explore a new adaptive maximum power tracking algorithm, a photovoltaic water pump system control structure based on AVR single chip microcomputer is proposed. Combining genetic algorithm with duty cycle disturbance observation method (PO), the duty cycle of DCAC converter is calculated and deduced according to the principle of genetic algorithm, which can quickly search the maximum power tracking point of photovoltaic water pump system in order to overcome the interference caused by the drastic change of external environment to the controller. The simulation results in Simulink environment show that the MPPT method based on genetic algorithm has good adaptability and stability. The related pumping experiments are carried out on the test platform of photovoltaic water pump system. The results show that the system designed by genetic algorithm and then MPPT algorithm can deal with the continuous climate change of the outside world, and the comprehensive efficiency is basically stable above 60%. The developed system can realize reliable control of pump load, stable operation and high overall efficiency, which provides a reference for optimal control of photovoltaic water pump system.
【作者单位】： 江苏大学农业装备工程学院;江苏大学能源与动力工程学院;
【基金】：江苏省2014年度普通高校研究生实践创新计划项目(SJZZ_0134)
【分类号】：TH38
，
本文编号：2519652
[Abstract]:In order to explore a new adaptive maximum power tracking algorithm, a photovoltaic water pump system control structure based on AVR single chip microcomputer is proposed. Combining genetic algorithm with duty cycle disturbance observation method (PO), the duty cycle of DCAC converter is calculated and deduced according to the principle of genetic algorithm, which can quickly search the maximum power tracking point of photovoltaic water pump system in order to overcome the interference caused by the drastic change of external environment to the controller. The simulation results in Simulink environment show that the MPPT method based on genetic algorithm has good adaptability and stability. The related pumping experiments are carried out on the test platform of photovoltaic water pump system. The results show that the system designed by genetic algorithm and then MPPT algorithm can deal with the continuous climate change of the outside world, and the comprehensive efficiency is basically stable above 60%. The developed system can realize reliable control of pump load, stable operation and high overall efficiency, which provides a reference for optimal control of photovoltaic water pump system.
【作者单位】： 江苏大学农业装备工程学院;江苏大学能源与动力工程学院;
【基金】：江苏省2014年度普通高校研究生实践创新计划项目(SJZZ_0134)
【分类号】：TH38
，
本文编号：2519652
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