Predicting power output of photovoltaic systems with solar radiation model

Sabo Mahmoud Lurwan, N. Mariun, H. Hizam, M. Radzi, A. Zakaria
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引用次数: 10

Abstract

Predicting of solar resource in general is momentous for preparation of the operations of power plants which transform renewable energies to electricity. In particular, the possibility to predict the solar irradiance (up to one day or even more) can become of significant interest with reference to Grid connected Photovoltaic (PV) Plants, stand alone and hybrid system. In this paper, a MATLAB/SIMULINK simulation based model for predicting hourly solar radiation using modified Hottel's radiation model is presented. The proposed modified Hottel's model makes it possible to predict solar radiation on hourly basis using current values of day type and geography of the location. While predicting power output, the model requires information of the weather forecast of the day to be predicted, some data from solar module datasheet is use and predicted radiation. The predicted results are compared with outdoor data collected by horizontal mount pyranometer at coordinates (2.945N, 101.728E) on 24th, June 2012. The results indicated the proposed model performed well after comparison with field data, having a correlation coefficient of 97%, also recorded 96% and 76% with Hottel's and Ashrae model respectively.
利用太阳辐射模型预测光伏系统的输出功率
一般来说,太阳能资源的预测对于将可再生能源转化为电能的发电厂的运行准备具有重要意义。特别是,预测太阳辐照度(长达一天或更长时间)的可能性,对于并网光伏电站、独立光伏电站和混合系统来说,可能变得非常重要。本文提出了一种基于MATLAB/SIMULINK仿真的基于改进的hotel辐射模型的逐时太阳辐射预测模型。修改后的酒店模型可以利用当前的日类型和地理位置,以每小时为基础预测太阳辐射。在预测功率输出时,模型需要预测当天的天气预报信息,使用太阳能组件数据表中的部分数据和预测辐射。将预测结果与2012年6月24日在坐标(2.945N, 101.728E)用水平安装式太阳辐射计采集的室外数据进行比较。结果表明,该模型与现场数据的相关系数为97%,与hotel’s和Ashrae模型的相关系数分别为96%和76%。
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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