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机构地区:[1]山东科技大学电气与自动化工程学院,山东青岛266590
出 处:《可再生能源》2018年第2期229-235,共7页Renewable Energy Resources
摘 要:文章对于光伏发电系统最大功率点跟踪过程中定步长扰动观察法跟踪速度与跟踪精度之间的矛盾,分析了光伏电池的输出特性,并提出了一种基于滞环比较的自寻优扰动观察法。该算法首先以自寻优的方式来确定扰动步长,然后通过滞环比较环节来判断扰动的添加方向,这样能够保证控制系统的跟踪速度与跟踪精度满足要求,并有效地避免了最大功率点处的振荡问题和系统的误判问题。文章利用Simulink软件搭建了光伏发电系统模型。仿真结果表明,基于滞环比较的自寻优扰动观察法能够快速、准确地跟踪到最大功率点,从而提高了光伏发电系统的能量利用率。Aiming at solving the contradiction of the tracking speed and tracking precision in fixed step-size perturbation and observation maximum power point tracking process of the photovoltaic power generation system, this paper proposes a self-optimizing perturbation and observation method based on hysteresis comparison by analyzing the output characteristics of photovoltaic cells.The proposed algorithm firstly uses the self-optimizing method to determine the perturbation stepsize, and then determines the perturbation direction with hysteresis comparison. Through this control strategy can ensure that the tracking speed and the tracking accuracy of the control system can meet the requirements, while the oscillation at the maximum power point and the misjudgment of system can be avoided effectively. It utilizes Simulink software to build a model of the photovoltaic power generation system, and the results show that the self-optimizing perturbation and observation method based on hysteresis comparison can track the maximum power point rapidly and accurately which improves the energy efficiency of the photovoltaic power generation system.
关 键 词:光伏发电 滞环比较 自寻优 最大功率点跟踪 SIMULINK仿真
分 类 号:TK519[动力工程及工程热物理—热能工程] TM615[电气工程—电力系统及自动化]
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