Determination of a New Performance Indicator for the Assessment of Stand-Alone PV System

Francis-Daniel Menga, Jorel landry Owona, Oumarou DJOUBAIROU OUMAROU
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Abstract

The use of stand-alone PV systems (SAPV) must be efficient and profitable for a better integration of solar energy in the global energy mix. However, the performance indicators that allow the evaluation of SAPV systems do not clearly inform us about the actual level of use of their sized and installed capacity. This article aims to determine a new performance indicator, called the theoretical power factor (TPF) by an original method based on the modelling of the SAPV system in the form of a matrix equation. The resolution of this matrix equation, makes it possible to bring out the reactive energy of the system during operation. A case study is presented and scenario I represents the case where the main elements are all assumed to operate at their rated capacity. scenario II represents the case were the rated capacity of storage system is reduced of 40%, scenario III represents the case were the rated current capacity of charge controller is reduced of 40%, and finally scenario IV represents the case were the rated power capacity of inverter is also reduced of 40%. The results obtained after implementation in the Spyder environment (python 5.1) show the effectiveness of TPF in the performance evaluation of SAPV systems. And also show how the TPF is substantially related to the capacity of each main element of the system. This being proved by the results obtained after the simulation of the four scenarios mentioned above. One can observe an increase in TPF of 0.1% in Scenario II during the period of low irradiance, and no change in TPF for the other scenarios in the same period. During the period of high irradiance, an increase in TPF of 17.9% is observed in scenario II and a decrease in TPF of 15.4% and 1.2% respectively in scenarios III and IV.
独立光伏系统评估新性能指标的确定
为了更好地将太阳能纳入全球能源结构,独立光伏系统的使用必须是有效和有利可图的。然而,允许对SAPV系统进行评估的性能指标并没有清楚地告诉我们它们的大小和装机容量的实际使用水平。本文在对SAPV系统进行矩阵方程建模的基础上,采用一种新颖的方法确定了一种新的性能指标——理论功率因数(TPF)。该矩阵方程的解算,使计算系统运行时的无功能成为可能。给出了一个案例研究,场景1表示假设所有主要元件都以其额定容量运行的情况。场景II表示存储系统额定容量减少40%的情况,场景III表示充电控制器额定电流容量减少40%的情况,最后场景IV表示逆变器额定功率容量也减少40%的情况。在Spyder环境(python 5.1)中实现后获得的结果显示了TPF在SAPV系统性能评估中的有效性。同时也展示了TPF是如何与系统中每个主要元素的容量密切相关的。通过对上述四种情况的模拟得到的结果证明了这一点。在低辐照度期间,情景II的TPF增加了0.1%,而同期其他情景的TPF没有变化。在高辐照度期间,在情景II中观察到TPF增加了17.9%,而在情景III和情景IV中分别减少了15.4%和1.2%。
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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