Reliability modeling and configuration optimization of a photovoltaic based electric power generation system

被引:21
作者
Xiao, Hui [1 ]
Lin, Chen [2 ]
Kou, Gang [3 ]
Peng, Rui [4 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Stat, Chengdu 611130, Sichuan, Peoples R China
[2] Hunan Univ Technol & Business, Sch Management, Changsha 410205, Hunan, Peoples R China
[3] Southwestern Univ Finance & Econ, Fac Business Adm, Sch Business Adm, Chengdu 611130, Sichuan, Peoples R China
[4] Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-state system reliability; Phased-mission system; External impacts; Reliability optimization; Survivability; PHASED-MISSION SYSTEMS; CONSECUTIVELY-CONNECTED SYSTEMS; PREVENTIVE MAINTENANCE POLICY; MULTISTATE SYSTEMS; PERFORMANCE; DEGRADATION; ALLOCATION; ELEMENTS;
D O I
10.1016/j.ress.2021.108285
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Existing research on phased-mission system reliability has mainly focused on internal failures. However, some practical phased-mission systems such as photovoltaic based electric power generation systems can also be subjected to external impacts. This paper models the reliability of a photovoltaic based electric power generation system considering both internal failures and external impacts that affect the failure rate of photovoltaic modules. Two different cases are considered when modeling the system reliability, where the number of elements required during different phases are the same in the first case and the number of elements required during different phases are different in the second case. The configuration of photovoltaic arrays as well as protection efforts on each photovoltaic module are further optimized to improve the system reliability. Moreover, the expected system loss is also modeled and optimized when the system demand is not satisfied. Examples are presented to illustrate the applications of proposed models.
引用
收藏
页数:10
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共 44 条
[1]   Recent advances and applications of solar photovoltaics and thermal technologies [J].
Ahmad, Lujean ;
Khordehgah, Navid ;
Malinauskaite, Jurgita ;
Jouhara, Hussam .
ENERGY, 2020, 207
[2]   Effects of static and dynamic shading on thermodynamic and electrical performance for photovoltaic panels [J].
Bayrak, Fatih ;
Oztop, Hakan F. .
APPLIED THERMAL ENGINEERING, 2020, 169
[3]   In-situ performance and degradation of three different photovoltaic module technologies installed in arid climate of Morocco [J].
Bouaichi, Abdellatif ;
El Amrani, Aumeur ;
Ouhadou, Malika ;
Lfakir, Aberrazak ;
Messaoudi, Choukri .
ENERGY, 2020, 190
[4]   A Deep Reinforcement Learning Approach to Dynamic Loading Strategy of Repairable Multistate Systems [J].
Chen, Yiming ;
Liu, Yu ;
Xiahou, Tangfan .
IEEE TRANSACTIONS ON RELIABILITY, 2022, 71 (01) :484-499
[5]   Reconfiguration analysis of photovoltaic arrays based on parameters estimation [J].
David Bastidas-Rodriguez, Juan ;
Andres Ramos-Paja, Carlos ;
Julian Saavedra-Montes, Andres .
SIMULATION MODELLING PRACTICE AND THEORY, 2013, 35 :50-68
[6]   Analysis of the cascading failure for scale-free networks based on a multi-strategy evolutionary game [J].
Dui, Hongyan ;
Meng, Xueyu ;
Xiao, Hui ;
Guo, Jianjun .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 199
[7]   System performance-based joint importance analysis guided maintenance for repairable systems [J].
Dui, Hongyan ;
Li, Shumin ;
Xing, Liudong ;
Liu, Hanlin .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 186 :162-175
[8]   An importance measure for multistate systems with external factors [J].
Dui, Hongyan ;
Si, Shubin ;
Wu, Shaomin ;
Yam, Richard C. M. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 167 :49-57
[9]   System Reliability Evaluation Under Dynamic Operating Conditions [J].
Hong, Lanqing ;
Zhai, Qingqing ;
Wang, Xin ;
Ye, Zhi-Sheng .
IEEE TRANSACTIONS ON RELIABILITY, 2019, 68 (03) :800-809
[10]   Reliability Evaluation for Demand-Based Warm Standby Systems Considering Degradation Process [J].
Jia, Heping ;
Ding, Yi ;
Peng, Rui ;
Song, Yonghua .
IEEE TRANSACTIONS ON RELIABILITY, 2017, 66 (03) :795-805