Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

被引:86
|
作者
Appiah, Albert Yaw [1 ,2 ]
Zhang, Xinghua [1 ]
Ayawli, Ben Beklisi Kwame [1 ,3 ]
Kyeremeh, Frimpong [1 ,2 ]
机构
[1] Nanjing Tech Univ, Coll Elect Engn & Control Sci, Nanjing, Jiangsu, Peoples R China
[2] Sunyani Tech Univ, Dept Elect Elect Engn, Sunyani, Ghana
[3] Sunyani Tech Univ, Dept Comp Sci, Sunyani, Ghana
关键词
POWER POINT TRACKING; MULTIRESOLUTION SIGNAL DECOMPOSITION; ARC FAULT; PROTECTION CHALLENGES; DETECTION ALGORITHM; PV ARRAYS; SYSTEMS; CLASSIFICATION; SIMULATION;
D O I
10.1155/2019/6953530
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The environmentally clean nature of solar photovoltaic (PV) technology causes PV power generation to be embraced by all countries across the globe. Consequently, installation and utilization of PV power systems have seen much growth in recent years. Although PV arrays of such systems are robust, they are not immune to faults. To guarantee reliable power supply, economic returns, and safety of both humans and equipment, highly accurate fault detection, diagnosis, and interruption devices are required. In this paper, an overview of four major PV array faults and their causes are presented. Specifically, ground fault, line-line fault, arc fault, and hot spot fault have been covered. Next, conventional and advanced fault detection and diagnosis (FDD) techniques for managing these faults are reviewed. Moreover, a single evaluation metric has been proposed and utilized to evaluate the performances of the advanced FDD techniques. Finally, based on the papers reviewed, PV array fault management future trends and possible recommendations have been outlined.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Fault Detection and Diagnosis for Photovoltaic Array Under Grid Connected Using Support Vector Machine
    Badr, Mohamed M.
    Hamad, Mostafa S.
    Abdel-Khalik, Ayman S.
    Hamdy, Ragi A.
    2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE), 2019, : 546 - 553
  • [22] Design of Photovoltaic Array Fault Online Evaluation System
    Tian, YaoYuan
    Chen, ChengBin
    Su, KaiXiong
    Yuan, JiaDe
    Zhang, JianChao
    2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2020), 2020, : 912 - 916
  • [23] Comparative Analysis of Photovoltaic Faults and Performance Evaluation of its Detection Techniques
    Khalil, Ihsan Ullah
    Ul-Haq, Azhar
    Mahmoud, Yousef
    Jalal, Marium
    Aamir, Muhammad
    Ahsan, Mati Ullah
    Mehmood, Khalid
    IEEE ACCESS, 2020, 8 (08): : 26676 - 26700
  • [24] Interpretable intelligent integration method for photovoltaic array fault diagnosis
    Chen Z.
    Liu W.
    Wang K.
    Yu T.
    Huang Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (06): : 18 - 25
  • [25] Feature extraction and fault diagnosis of photovoltaic array based on conversion
    Ding, Kun
    Chen, Xiang
    Jiang, Meng
    Yang, Hang
    Chen, Xihui
    Zhang, Jingwei
    Gao, Ruiguang
    Cui, Liu
    APPLIED ENERGY, 2024, 353
  • [26] A performance evaluation framework for building fault detection and diagnosis algorithms
    Frank, Stephen
    Lin, Guanjing
    Jjn, Xin
    Singla, Rupam
    Farthing, Amanda
    Granderson, Jessica
    ENERGY AND BUILDINGS, 2019, 192 : 84 - 92
  • [27] Performance assessment of selective machine learning techniques for improved PV array fault diagnosis
    Adhya, Dhritiman
    Chatterjee, Soumesh
    Chakraborty, Ajoy Kumar
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 29
  • [28] IoT Platform Combined with Machine Learning Techniques for Fault Detection and Diagnosis of Large Photovoltaic Plants
    Ramirez, Isaac Segovia
    Munoz Del Rio, Alba
    Garcia Marquez, Fausto Pedro
    ICAN 2022 - 3rd International Conference on Computing, Analytics and Networks - Proceedings, 2022,
  • [29] Electrical fault tolerance of photovoltaic array configurations: Experimental investigation, performance analysis, monitoring and detection
    Satpathy, Priya Ranjan
    Aljafari, Belqasem
    Thanikanti, Sudhakar Babu
    Madeti, Siva Rama Krishna
    RENEWABLE ENERGY, 2023, 206 : 960 - 981
  • [30] Methods of photovoltaic fault detection and classification: A review
    Hong, Ying-Yi
    Pula, Rolando A.
    ENERGY REPORTS, 2022, 8 : 5898 - 5929