A data-driven photovoltaic string current mismatch fault diagnosis method based on I-V curve. (November 2022)

• Record Type: Journal Article
• Authors: Zhang, Zhixiang; Ma, Mingyao; Ma, Wenting; Zhang, Rui; Wang, Jun
• Is Part Of: Microelectronics and reliability. Volume 138(2022)
• Publication Date: 2022-11
• Subjects: PV string -- Current mismatch -- Data driven -- I-V curve -- Fault diagnosis; Electronic apparatus and appliances -- Reliability -- Periodicals; Miniature electronic equipment -- Periodicals; Appareils électroniques -- Fiabilité -- Périodiques; Équipement électronique miniaturisé -- Périodiques; Electronic apparatus and appliances -- Reliability; Miniature electronic equipment; Periodicals; 621.3815
• DOI: 10.1016/j.microrel.2022.114705
• Languages: English
• ISSNs: 0026-2714

Abstract

Abstract: Due to the complex operating environment, current mismatch faults often occur in photovoltaic (PV) strings in the actual PV plants, which seriously reduces the power of the entire string. This paper investigates and collects the data of mismatched PV strings in an actual PV plant, and further the fault characteristics of mismatched PV strings are extracted through the I-V curve. A data-driven online diagnosis method for current mismatch faults based on string I-V data is proposed. The method uses the I-V data to construct a detection line, and the inflection point and step features on the I-V curve caused by current mismatch can be detected simply and quickly through the parallel movement of the detection line and the positional relationship between the line and the I-V data. The experimental verifications from the actual PV plant are demonstrated to show the effectiveness of the proposed method for PV string current mismatch fault. Highlights: Online diagnosis of current mismatch faults of PV strings based on I-V curve. Current mismatch causes inflection points and steps in the string I-V curve. The constructed detection line clusters are used to detect the current mismatch.