Review of Artificial Intelligence-Based Failure Detection and Diagnosis Methods for Solar Photovoltaic Systems

Abstract

In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as an alternative to conventional fossil fuel generation has encouraged the search for efficient and more reliable operation and maintenance practices, since PV systems require constant maintenance for consistent generation efficiency. One option, explored recently, is artificial intelligence (AI) to replace conventional maintenance strategies. The growing importance of AI in various real-life applications, especially in solar PV applications, cannot be over-emphasized. This study presents an extensive review of AI-based methods for fault detection and diagnosis in PV systems. It explores various fault types that are common in PV systems and various AI-based fault detection and diagnosis techniques proposed in the literature. Of note, there are currently fewer literatures in this area of PV application as compared to the other areas. This is due to the fact that the topic has just recently been explored, as evident in the oldest paper we could obtain, which dates back to only about 15 years. Furthermore, the study outlines the role of AI in PV operation and maintenance, and the main contributions of the reviewed literatures.

Towards Smart Monitoring Systems: Fault Detection and Diagnosis-Based Artificial Intelligence Algorithms in Solar PV Power Plants

“…The most prevalent types of faults in PV systems are classified as depicted in Fig. 1 [8]. In the following sub-sections, essential information about failure mechanisms of solar PV installations is shown.…”

“…Permanent defects are addressed by changing or fixing faulty PV modules. Severe defects in solar PV panels are often caused by a short circuit, grounding, line-to-line, and arcing defects [8].…”

“…Maximum power point tracking (MPPT) fault, joule losses in wiring, and malfunctioning devices are all reasons that might cause yield loss [8]. Faults in solar PV installation can be categorized as modules, strings, or networks defects, based on the solar PV plants concerned.…”

Fault-Tolerant Multilevel Converter to Feed a Switched Reluctance Machine

“…These fault-tolerant schemes usually rely on redundant components, such as switches and relays [35,36]. Further, fault detection and tolerant systems have been considered very important in a huge number of applications [37][38][39][40]. The same is applied to the systems that are included in the SRM machine and correspondent drive.…”

Fuzzy Logic Control Design and Implementation with DC-DC Boost Converter

“…[8] Here, a novel topology baptized an ANFIS (Adaptive Neuro-Fuzzy Inference System) supervisor based soft swapped DC/DC converter with non-isolated joined inductor has been replicated and obtainable for refining the power of stand-alone PV system [9][10][11][12][13]. A Proportional-Integral (PI) founded Maximum-Power-Point-Tracking (MPPT) regulator procedure is projected in this study where it is practical to a Buck-Boost converter [14][15][16][17][18][19][20][21]. The additional style is when the present of the inductance in a period of time develops zero called intermittent disorder style (DCM) [22].So, the industrialized magnetic field in the coil stowed an energy that is relative to the creation of inductor and square current (W=1/2×L× I 2 ) [23,24].…”