首页|光伏电池及阵列的老化故障研究

光伏电池及阵列的老化故障研究

扫码查看
为研究光伏电池及阵列老化故障原因,建立故障辨识模型.单晶硅(砷化镓)电池老化前后理论拟合与实验数据全局均方根误差均小于0.11 mA(0.59 mA),表明了模型的可靠性.以此为依据,研究了二极管理想因子n、串联电阻Rs和并联电阻Rsh对单晶硅(砷化镓)电池最大输出功率Pmax影响,发现两种电池Pmax随n和Rs增加而下降,随着Rsh增加而增加;n对两电池影响很小且基本一致;Rs和Rsh对硅电池影响大,原因在于砷化镓电池抗老化能力强.研究了4×4 BL、HC、TCT、NS硅阵列Pmax与其中单电池n、Rs、Rsh的关系,发现Pmax与n、Rs、Rsh的变化趋势与上述一致;Rs影响下阵列Pmax的降序为BL>HC>TCT=NS.研究结果对于光伏电池及阵列的老化故障判断提供了理论指导.
Research on Aging Failure of Photovoltaic Cells and Arrays
To study the aging failure causes of solar cells and arrays,an aging fault identification model is established based on the solar cell equivalent circuit,and verified by comparison with the experimental data.The global root mean square error of theoretical fitting and experimental data before and after the aging of monocrystalline silicon(gallium arsenide)cell is less than 0.11 mA(0.59 mA),which shows the model is correct.Then,the effects of diode ideality factor n,series resistance Rs and parallel resistance Rsh on the maximum output power Pmax of monocrystalline silicon(gallium arsenide)cell are compared and studied.The Pmax of monocrystalline silicon and gallium arsenide cells are found to decrease with either n or Rs increasing,but increases with Rsh increasing.The effect of n on monocrystalline silicon(gallium arsenide)cell is basically consistent.Compared with gallium arsenide cell,Rs and Rsh have a greater effect on silicon cells.The reason is that the gallium arsenide cell has strong anti-aging capability.Finally,the relationships between silicon array Pmaxof 4×4 BL,HC,TCT,NS and a single cell n,Rs,Rsh,are studied.The results show that the change trends of the four arrays Pmax with n,Rs,Rsh,are consistent with the mentioned conclusions.In addition,the descending order of array Pmax under the influence of Rsis BL>HC>TCT =NS.The reason is that there are many series branches of TCT and NS arrays,and more cells participate in shunt.Therefore,the failure of a single cell Rs in the array has little impact on the output power of the array.The research results provide theoretical guidance for the diagnosis of aging and failure in batteries and arrays.

photovoltaic cellsphotovoltaic arraymodelaging failureperformance analysis

肖文波、章文龙、李欣蕊

展开 >

南昌航空大学科技学院,江西共青城 332020

江西省光电检测技术工程实验室,南昌 330063

光伏电池 光伏阵列 模型 老化故障 性能分析

国家自然科学基金江西省教育厅科技项目江西省教育厅科技项目江西省教育厅科技项目江西省高层次高技能领军人才培养工程项目

12064027GJJ2204302GJJ2204304GJJ22043032022-63号

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(2)
  • 20