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A Hysteresis Model for Fixed and Sun Tracking Solar PV Power Generation Systems

机译:固定和太阳跟踪太阳能光伏发电系统的滞后模型

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摘要

In this study, a new solar photovoltaic (PV) panel output power model is proposed. The model is constructed as a function of ambient temperature and solar radiations for two types (fixed panel and sun tracking panel) of PV systems. The proposed models are tested and verified on the Renewable Energy Research Home (RERH) system that was installed at the Anadolu University campus in Eskişehir, Turkey. The model is deliberately constructed for the winter season, where cloudliness, rain and snow constitute more challenging conditions for modeling. The developed model outcomes are compared to the outputs of state of the art methods that use global solar radiation and temperature data. A total of eight algebraic models are constructed for the purpose of depicting the solar radiation-to-electric power behavior. It is observed that even the least successful one of these eight variants are performing better than the most accurate method in the literature. It is argued that mathematical incorporation of the proposed novel hysteresis functions to the solar radiation-to-power conversion curves results in a richer class of functions and causes a significant accuracy improvement on the mathematical power generation model, even for the most challenging season of winter.
机译:在这项研究中,一个新的太阳能光伏(PV)面板输出功率模型。该模型被构建为环境温度,并用于光伏系统的两种类型(固定板和太阳跟踪面板)太阳辐射的功能。提出的模型进行测试,并已安装在埃斯基谢希尔,土耳其阿纳多卢大学校园内的可再生能源研究首页(RERH)系统上验证。该模型是故意构造了冬季,这里cloudliness,雨雪构成造型更具挑战性的条件。开发的模型的结果进行比较,以的使用全局太阳辐射和温度数据的现有技术方法的输出。总共八个代数模型构建用于描绘太阳辐射到电力行为的目的。据观察,即使这八个变种的至少一个成功正在执行比文学中最准确的方法更好。有人认为,数学掺入提出新的滞后功能更丰富的类的功能的太阳辐射到功率转换曲线结果,并导致显著提高精度的数学发电模型,即使是冬天最具挑战性的季节。

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