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 103 条
  • [11] [Anonymous], 1994, P 1994 IEEE 1 WORLD, DOI DOI 10.1109/WCPEC.1994.520093
  • [12] [Anonymous], 2013, Energy Power Eng., DOI DOI 10.4236/EPE.2013.54B045
  • [13] A Survey on Fault Detection, Isolation, and Reconfiguration Methods in Electric Ship Power Systems
    Babaei, Maziar
    Shi, Jian
    Abdelwahed, Sherif
    [J]. IEEE ACCESS, 2018, 6 : 9430 - 9441
  • [14] Baby CJ, 2017, 2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT)
  • [15] Ball G., 2013, Inverter ground-fault detection "blind spot"and mitigation methods
  • [16] Bardou D, 2018, IEEE ACCESS, V6, P24680, DOI [DOI 10.1109/ACCESS.2018.2831280, 10.1109/ACCESS.2018.2831280]
  • [17] Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification
    Belaout, A.
    Krim, E.
    Mellit, A.
    Talbi, B.
    Arabi, A.
    [J]. RENEWABLE ENERGY, 2018, 127 : 548 - 558
  • [18] Belaout A, 2017, 2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B)
  • [19] Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays
    Bidram, Ali
    Davoudi, Ali
    Balog, Robert S.
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2012, 2 (04): : 532 - 546
  • [20] Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control
    Brunton, Steven L.
    Rowley, Clarence W.
    Kulkarni, Sanjeev R.
    Clarkson, Charles
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2010, 25 (10) : 2531 - 2540