大学物理 ›› 2019, Vol. 38 ›› Issue (3): 41-.doi: 10.16854 /j.cnki.1000-0712.180477

• 物理.自然.技术.社会 • 上一篇    下一篇

两类光伏发电工程模型的适用性研究

肖文波,余晓鹏,何兴道   

  1. 1.南昌航空大学大学物理国家级实验教学示范中心,江西南昌330063; 2.南昌航空大学无损检测技术教育部重点实验室,江西南昌330063
  • 收稿日期:2018-07-14 修回日期:2018-10-19 出版日期:2019-03-20 发布日期:2019-04-26
  • 作者简介:肖文波( 1975—) ,男,江西南昌人,南昌航空大学测光学院教授,博士,主要从事光电检测研究及大学
  • 基金资助:
    航空科学基金项目( 2017ZC56003) ; 江西省青年科学基金( 20143ACB21011) 资助

Research on the applicability of two types of photovoltaic power generation engineering model

XIAO Wen-bo1,2,YU Xiao-peng1,2,HE Xing-dao1,2   

  1. 1.The National Physics Experiment Teaching Center,Nanchang Hangkong University,Nanchang,Jiangxi 330063,China; 2.Key Laboratory of Nondestructive Testing,Ministry of Education,Nanchang,Jiangxi 330063,China
  • Received:2018-07-14 Revised:2018-10-19 Online:2019-03-20 Published:2019-04-26

摘要: 光伏发电模型的研究对于预测和分析光伏发电受外界的影响具有重要意义.本文研究并分析了两类光伏发电工程

模型的适用性,一类是基于并联电阻无穷大下的简化模型( 称简化模型) ,另外一类是基于幂律函数下的指数模型( 称指数模

型) ; 结果首先表明,两类模型总体都可以比较精确的描述电池输出特性,但两类模型的理论与实验误差随偏压上升而上升;

原因在于,高偏置下电池的特征已改变,无法用理想恒流源、理想二极管来描述电池属性.其次,发现当光照强度或电池温度改

变的时候,两类模型的理论与实验之间误差都上升; 原因在于两方面,第一在于外界环境变化,电池的非线性效应明显,模型

无法适应电池的实际变化; 此外,两类模型都是基于标准测试情况下的参考值来预估电池发电特征; 因此,模型对于偏离标准

情况下的分析就会有误差.最后,注意到指数模型整体优于简化模型,更加适应任意情况下的电池发电特性; 原因在于两方面,

一方面是指数模型考虑了光照强度对电流与电压的影响,而简化模型仅仅考虑了光照强度对电流的影响; 另外一方面指数模

型考虑了短路电流、开路电压、最大功率点电流和电压4 个温度系数,而简化模型仅仅考虑了两个温度补偿系数.

关键词: 光伏发电, 模型, 适应性, 对比研究

Abstract: The research of photovoltaic power generation model is of great significance for predicting and analyzing

the influence of photovoltaic power generation by the outside factors. This paper studies and analyzes the applicability

of two types of photovoltaic power generation models proposed at home and abroad in recent years. One is

called as the simplified model based on parallel resistance infinite ( referred to as the simplified model) ,the other

is called exponential model based on power law function ( referred to as exponential model) . The results show firstly

that both models can reproduce the experimental data generally accurately. However,the theoretical and experimental

errors of the two models increase obviously with the increase of bias voltage. The reason is that the cell's characteristics

under high bias have been completely changed,can not use the ideal constant current source and diode to

describe. Secondly,it was found that the errors of both models are increased when the cell's work condition is not in

the standard environments. The reasons are in two aspects,the first is that the external environment changes,the

cell has a significant nonlinear effect and the model can not adapt to the actual change of the cell. In addition,both

models predict the power generation characteristics based on the technical reference values in the case of standard

tests. As a result,the models will have obvious errors in the analysis of the case in the non standard conditions. Finally,

noting that the exponential model is better than the simplified model in any situation. The reason lies in two

aspects,on the one hand,the exponential model considers the influence of light intensity on current and voltage,

while the simplified model only considers the influence of light intensity on current. On the other hand,the exponential

model considers temperature coefficients of short - circuit current,open circuit voltage,maximum power

point current and voltage,while the simplified model only considers two temperature compensation systems.

Key words: photovoltaic power generation, model, applicability, comparative study