Data Generation Method Based on Correlation Between Sensors in Photovoltaic Arrays

Zekai Lee, Linyu Wang, Yongshen Wen, Ruixin Tang, Yiliang Fan, Xin Liang, Yu Nan, Ruiqing Song
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Abstract

As the consumption of the fossil fuel and the other unrenewable energy, the renewable energy gradually cause the high attention and become a tendency of the power production. In the solar industry, the prediction of the solar irradiation intensity is an important procedure during the photovoltaic power generation. But sometimes the solar data, which could be used to predict the future power generation case and hold the economic operation, is difficult to capture because the actual geographical environment, where is not allowed to put up the sensor. In order to solve this dilemma, this paper proposes a method of the data generation, which mainly consist of three factors. Through the comparison of the actual solar irradiation intensity data and the generated data with the method, the error is in the permitted range, which means the validity of the method.
基于光伏阵列传感器间相关性的数据生成方法
随着化石燃料和其他不可再生能源的消耗,可再生能源逐渐引起人们的高度重视,成为电力生产的一种趋势。在太阳能工业中,太阳辐照强度的预测是光伏发电过程中的一个重要环节。但有时太阳能数据,可以用来预测未来的发电情况和保持经济运行,很难捕获,因为实际的地理环境,不允许在哪里设置传感器。为了解决这一困境,本文提出了一种数据生成方法,该方法主要由三个因素组成。通过将实际太阳辐照强度数据与该方法生成的数据进行对比,误差在允许范围内,说明该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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