Long Term Reliability Analysis of Components of Photovoltaic System based on Markov Process

被引：0

作者：

Khalilnejad, Arash ^{[1
]}

Pour, Maneli Malek ^{[1
]}

Zarafshan, Elahe ^{[1
]}

Sarwat, Arif ^{[1
]}

机构：

[1] Florida Int Univ, Dept Elect Engn, Ctr Energy Power & Sustainabil EPS, Miami, FL 33174 USA

来源：

SOUTHEASTCON 2016 | 2016年

关键词：

Markov process; Components of Photovoltaic System; Reliability; Failure rate; Repair rate; PERFORMANCE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this study, long term component reliability analysis of PV system is performed using Markov method. Four major components for evaluation of the system are considered with 16 different states to evaluate a PV system as a package with one reliability index. The probability analysis for each state shows that although at very first years the states of combination of multiple failures are negligible, after several years of operation, all states are effective in the reliability of the system. Based on Markov modeling given in the study and actual failure and repair rates of components, the reliability analysis shows that the reliability of the system decreases from 0.99 to 0.81 in 20 years. The initial condition for each year is gained from the final condition of the previous year. The annual value of the reliability of PV system makes the designers plan major maintenance and switching based on cost and load.

引用

页数：5

共 22 条

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