| 一种光伏电池最大输出功率的预测方法 |
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| 引用本文： | 杨朋,曲芳,张金峰,王永辉,杨宗权. 一种光伏电池最大输出功率的预测方法[J]. 电网与清洁能源, 2011, 27(7): 67-69 |
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| 作者姓名： | 杨朋 曲芳 张金峰 王永辉 杨宗权 |
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| 作者单位： | 安徽省电力公司阜阳供电公司，安徽 阜阳，236000;河南省电力公司新乡供电公司，河南 新乡，453000;安徽省电力公司阜阳供电公司，安徽 阜阳，236000;安徽省电力公司阜阳供电公司，安徽 阜阳，236000;安徽省电力公司阜阳供电公司，安徽 阜阳，236000 |
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| 摘 要： | 光伏电池输出功率受温度和光强影响，且影响程度具有非线性特征。采用建立二维表的方式来预测光伏电池最大输出功率。该方法将预测功率转化为预测温度和光强，并根据温度和光强预测结果查表得到光伏电池最大输出功率。算例表明，文中所提出的方法能够较为准确地预测光伏电池最大输出功率。
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| 关 键 词： | 太阳能；光伏电池；预测方法 |
A Forecasting Method for the Maximum Output Power of Photovoltaic Cells |
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| YANG Peng,QU Fang,ZHANG Jin-feng,WANG Yong-hui and YANG Zong-quan. A Forecasting Method for the Maximum Output Power of Photovoltaic Cells[J]. Power system and clean energy, 2011, 27(7): 67-69 |
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| Authors: | YANG Peng QU Fang ZHANG Jin-feng WANG Yong-hui YANG Zong-quan |
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| Affiliation: | Fuyang Power Supply Company, Anhui Electric Power Corporation, Fuyang 236000, Anhui Province, China;Xinxiang Power Supply Company, Henan Electric Power Corporation, Xinxiang 453000, Henan Province, China;Fuyang Power Supply Company, Anhui Electric Power Corporation, Fuyang 236000, Anhui Province, China;Fuyang Power Supply Company, Anhui Electric Power Corporation, Fuyang 236000, Anhui Province, China;Fuyang Power Supply Company, Anhui Electric Power Corporation, Fuyang 236000, Anhui Province, China |
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| Abstract: | The output power of photovoltaic cells is heavily affected by temperature and illumination intensity and the influence is characteristic of non-linearity. In order to forecast the maximum output power of photovoltaic cells. This paper presents a method using a two-dimensional table to calculate the maximum output power of photovoltaic cells. The forecasting of output power can be replaced by the forecasting of temperature and illumination intensity in this method. According to the forecasting result of temperature and illumination intensity, the maximum output power of photovoltaic cells can be got through two-dimensional table. The example shows that the maximum output power of photovoltaic cells can be calculated accurately by this method provided. |
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| Keywords: | solar energy photovoltaic cells forecasting method |
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