首页 | 本学科首页   官方微博 | 高级检索  
     

具有初始退化随机特征的光伏组件可靠性评估
引用本文:鄢伟安,孔文琪,刘卫东,熊玉辉,张金晶. 具有初始退化随机特征的光伏组件可靠性评估[J]. 太阳能学报, 2022, 43(3): 152-157. DOI: 10.19912/j.0254-0096.tynxb.2020-0679
作者姓名:鄢伟安  孔文琪  刘卫东  熊玉辉  张金晶
作者单位:1.南昌航空大学航空制造工程学院,南昌 330063; 2.华东交通大学交通运输与物流学院,南昌 330013; 3.南昌大学机电工程学院,南昌 330031; 4.中国电建集团江西省电力设计院有限公司,南昌 330096
基金项目:国家自然科学基金(72071099;71861011);;江西省博士后科研择优资助项目(2019KY35);
摘    要:基于逆高斯过程,考虑到初始退化具有随机特征,建立光伏组件的性能退化模型,并对其可靠性进行评估.失效机理分析表明,光伏组件的退化过程主要表现为输出功率的衰减,其衰减具有单调、随机特征,且初始退化也具有随机特征,据此建立光伏组件带有时移的逆高斯性能退化模型;基于极大似然估计方法,给出模型参数及可靠度函数的估计;基于所建模型...

关 键 词:可靠性  光伏组件  退化  逆高斯过程  随机初始退化
收稿时间:2020-07-16

RELIABILITY ASSESSMENT OF PHOTOVOLTAIC MODULES WITH INITIAL DEGRADATION RANDOM CHARACTERISTICS
Yan Weian,Kong Wenqi,Liu Weidong,Xiong Yuhui,Zhang Jinjing. RELIABILITY ASSESSMENT OF PHOTOVOLTAIC MODULES WITH INITIAL DEGRADATION RANDOM CHARACTERISTICS[J]. Acta Energiae Solaris Sinica, 2022, 43(3): 152-157. DOI: 10.19912/j.0254-0096.tynxb.2020-0679
Authors:Yan Weian  Kong Wenqi  Liu Weidong  Xiong Yuhui  Zhang Jinjing
Affiliation:1. College of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang 330063, China; 2. College of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China; 3. College of Mechanical & Electrical Engineering, Nanchang University, Nanchang 330031, China; 4. POWERCHINA Jiangxi Electric Power Engineering Co., Ltd., Nanchang 330096, China
Abstract:Based on the inverse Gaussian process, considering the random characteristics of the initial degradation, the performance degradation model of PV modules are established and its reliability is evaluated. First of all, the failure mechanism analysis shows that the degradation process of photovoltaic modules is mainly manifested as the attenuation of output power, which has monotonous and random characteristics, and the initial degradation also has random characteristics, so as to establish the inverse Gaussian performance degradation model with time shift of photovoltaic modules. Then, based on the maximum likelihood estimation method, the model parameters and reliability functions are estimated. Finally, based on the model, an example of photovoltaic module degradation is analyzed, and compared with the traditional inverse Gaussian degradation model, the results show that the model can describe the degradation law of photovoltaic modules more accurately, and the reliability estimation results are more in line with the reality.
Keywords:reliability  photovoltaic module  degradation  inverse Gaussian process  random initial degradation  
点击此处可从《太阳能学报》浏览原始摘要信息
点击此处可从《太阳能学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号