Prediction of Grid Connected Photovoltaic power systems performance using mathematical approach

A. H. Faranadia, A. M. Omar, N. Mohamed
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引用次数: 3

Abstract

This paper presents prediction of Grid Connected Photovoltaic (GCPV) power systems performance parameters towards Malaysia climate variations (solar irradiance and module temperature) by using Mathematical approach. The actual and prediction data measurement were analyzed on three types of solar cell technologies; monocrystalline, polycrystalline and thin film. Each PV array works with different types of inverters which are located at Green Energy Research Center (GERC), University of Technology MARA (UiTM) Shah Alam, Selangor. The prediction and detail analysis of electrical parameters are carried out by using MathCAD software. The results obtained show good agreement between prediction and actual data.
并网光伏发电系统性能的数学预测
本文采用数学方法对马来西亚气候变化(太阳辐照度和组件温度)下的并网光伏(GCPV)电力系统性能参数进行了预测。对三种太阳能电池技术的实测和预测数据进行了分析;单晶、多晶及薄膜。每个光伏阵列与位于雪兰莪州沙阿南马拉科技大学绿色能源研究中心(GERC)的不同类型的逆变器一起工作。利用MathCAD软件进行了电气参数的预测和详细分析。结果表明,预测结果与实际数据吻合较好。
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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