A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults. (15th December 2015)

• Record Type: Journal Article
• Authors: Cai, Baoping; Liu, Yonghong; Ma, Yunpeng; Huang, Lei; Liu, Zengkai
• Is Part Of: Energy. Volume 93:Part 2(2015)
• Page Start: 1308
• Page End: 1320
• Publication Date: 2015-12-15
• Subjects: Dynamic Bayesian networks -- Reliability evaluation -- Intermittent faults -- Photovoltaic systems; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2015.10.068
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: A framework for the reliability evaluation of grid-connected PV (photovoltaic) systems with intermittent faults is proposed using DBNs (dynamic Bayesian networks). A three-state Markov model is constructed to represent the state transition relationship of no faults, intermittent faults, and permanent faults for PV components. The model is subsequently fused into the DBNs. The reliability and availability of three simple PV systems with centralized, string, and multistring configurations, as well as a complex PV system, are analyzed through the proposed framework. The sequence of the degree of importance of PV components is investigated using mutual information. The effects of intermittent fault parameters, including the coefficients of intermittent fault, permanent fault, and intermittent repair, on the reliability and availability are explored. Results show that the reliability and availability of the PV system with centralized configuration rapidly decrease, compared with those of the PV systems with string and multistring configurations. The sequence of the degree of importance of PV components is DC/AC inverter, DC/DC converter, DC combiner, and PV module arranged from the largest to the smallest. The finding indicates that the DC/AC inverter should be given considerable attention to improve the reliability and availability and to prevent their possible failures. Highlights: A reliability evaluation framework with intermittent faults is proposed. The reliability model is obtained by combining Markov and Bayesian networks. Three simple and one complex PV systems are studied using the methodology.