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

      1 , 2 , 1 , 1 , 3 , 1 , 2
      International Journal of Photoenergy
      Hindawi Limited

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          Abstract

          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.

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          Most cited references53

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          Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques

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            Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks

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              Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays

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                Author and article information

                Journal
                International Journal of Photoenergy
                International Journal of Photoenergy
                Hindawi Limited
                1110-662X
                1687-529X
                February 18 2019
                February 18 2019
                : 2019
                : 1-19
                Affiliations
                [1 ]College of Electrical Engineering & Control Science, Nanjing Tech University, Nanjing, China
                [2 ]Department of Electrical/Electronic Engineering, Sunyani Technical University, Sunyani, Ghana
                [3 ]Department of Computer Science, Sunyani Technical University, Sunyani, Ghana
                Article
                10.1155/2019/6953530
                46eaa55f-ed32-455a-81d1-ad678a1df690
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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