Model-based fault detection in photovoltaic systems: A comprehensive review and avenues for enhancement

被引：24
作者：
Taghezouit, Bilal [1 ]
Harrou, Fouzi [2 ]
Sun, Ying [2 ]
Merrouche, Walid [1 ]
机构：
[1] Ctr Dev Energies Renouvelables CDER, BP 62,Route Observ, Algiers 16340, Algeria
[2] King Abdullah Univ Sci & Technol KAUST, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal 239556900, Saudi Arabia
来源：
RESULTS IN ENGINEERING | 2024年 / 21卷
关键词：
Solar photovoltaic; Monitoring; Modeling; Fault detection; Artificial intelligence; PV SYSTEMS; PERFORMANCE ANALYSIS; PROTECTION CHALLENGES; OPERATING TEMPERATURE; DETECTION ALGORITHM; DIAGNOSIS; MODULES; EXTRACTION; IRRADIANCE; DESIGN;
D O I：
10.1016/j.rineng.2024.101835
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Solar photovoltaic (PV) systems have become a vital renewable energy source, witnessing rapid global demand. Nevertheless, these systems are susceptible to faults and anomalies that can deteriorate performance and yield significant consequences. Hence, this paper is dedicated to reviewing recent advancements in monitoring, modeling, and fault detection methods for PV systems. It encompasses diverse PV system types, including gridconnected, stand-alone, and hybrid configurations, and delves into the latest data acquisition and monitoring techniques. The review also discusses various performance modeling approaches, including empirical, analytical, and numerical models, highlighting the significance of model validation and calibration. Furthermore, it provides a comprehensive analysis of model-based fault detection techniques. Overall, this paper underscores the pivotal role of fault detection in PV systems and offers a thorough comprehension of available techniques vital for enhancing system management and maintenance.
引用
收藏
页数：23
相关论文
共 50 条
[41]   Local outlier factor-based fault detection and evaluation of photovoltaic system [J].
Ding, Hanxiang ;
Ding, Kun ;
Zhang, Jingwei ;
Wang, Yue ;
Gao, Lie ;
Li, Yuanliang ;
Chen, Fudong ;
Shao, Zhixiong ;
Lai, Wanbin .
SOLAR ENERGY, 2018, 164 :139-148
[42]   Photovoltaic system fault detection techniques: a review [J].
El-Banby, Ghada M. ;
Moawad, Nada M. ;
Abouzalm, Belal A. ;
Abouzaid, Wessam F. ;
Ramadan, E. A. .
NEURAL COMPUTING & APPLICATIONS, 2023, 35 (35) :24829-24842
[43]   Current-Based Fault Detection of Photovoltaic Systems [J].
Pourshahbaz, Nima ;
Eskandari, Aref ;
Milimonfared, Jafar ;
Aghaei, Mohammadreza .
2023 14TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE, PEDSTC, 2023,
[44]   Real Time Fault Detection in Photovoltaic Systems [J].
Ali, Mohamed Hassan ;
Rabhi, Abdelhamid ;
El Hajjaji, Ahmed ;
Tina, Giuseppe M. .
8TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS, SEB-16, 2017, 111 :924-933
[45]   A model-based fault detection and diagnosis scheme for distributed parameter systems: A learning systems approach [J].
Demetriou, MA .
ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2002, 7 (03) :43-67
[46]   Model-based fault detection, isolation and fault-tolerant control for a class of nonlinear uncertain systems using information estimation [J].
Huang Sunan ;
Lin Feng ;
Chen, Ben M. .
2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, :6164-6169
[47]   Guaranteed model-based fault detection in cyber-physical systems: A model invalidation approach [J].
Harirchi, Farshad ;
Ozay, Necmiye .
AUTOMATICA, 2018, 93 :476-488
[48]   EXPERIMENTAL STUDY FOR MODEL-BASED FAULT DETECTION IN FLUID POWER APPLICATIONS [J].
Angeli, C. ;
Chatzinikolaou, A. .
ISC'2011: 9TH INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE, 2011, :53-57
[49]   Development and application of a comprehensive model-based methodology for fault mitigation of fuel cell powered systems [J].
Gallo, Marco ;
Costabile, Carmine ;
Sorrentino, Marco ;
Polverino, Pierpaolo ;
Pianese, Cesare .
APPLIED ENERGY, 2020, 279
[50]   Model-Based Parameter Estimation for Fault Detection Using Multiparametric Programming [J].
Mid, Ernie Che ;
Dua, Vivek .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2017, 56 (28) :8000-8015
12345