Power Quality Assessment of Grid Connected Photovoltaic System on Power Factor

A. H. Faranadia, A. M. Omar, S. Noor
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Abstract

This paper describes prediction of power factor (PF) on Grid Connected Photovoltaic (GCPV) power systems towards Malaysia climate variations (solar irradiance) by using Mathematical model. The mathematical model was developed by using a phasor diagram under three different cases. Each case presents different possibilities of GCPV system current flow and power factor characteristic towards solar irradiance condition. Each mathematical equation was derived from a phasor diagram which utilize solar irradiance as the input and power factor as the output. The verification on the accuracy of the proposed model is conducted based on real data measurement on the GCPV system which located at Green Energy Research Center (GERC), University of Technology MARA (UiTM) Shah Alam, Malaysia. Based on the comparative study and statistical approach, it shows a good agreement between actual and prediction data. Besides, the development of the proposed model provides an effective method for prediction mainly on the power factor characteristic of GCPV system and feasible in time under the same accuracy.
基于功率因数的并网光伏系统电能质量评价
本文利用数学模型对马来西亚气候变化(太阳辐照度)下并网光伏(GCPV)电力系统的功率因数(PF)进行了预测。利用相量图建立了三种不同情况下的数学模型。每种情况下,GCPV系统的电流和功率因数随太阳辐照度变化的可能性不同。每个数学方程都是从一个相量图中推导出来的,该相量图利用太阳辐照度作为输入,功率因数作为输出。基于位于马来西亚沙阿南马拉科技大学绿色能源研究中心(GERC)的GCPV系统的实际数据测量,对所提出模型的准确性进行了验证。通过对比研究和统计分析,表明实际数据与预测数据吻合较好。该模型的建立为GCPV系统的功率因数特性预测提供了一种有效的方法,在相同精度下,在时间上是可行的。
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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