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Detecting and diagnosing electrical faults in photovoltaic system


Article Information

Title: Detecting and diagnosing electrical faults in photovoltaic system

Authors: Ramya D., D. Godwin Immanuel

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2021

Volume: 16

Issue: 16

Language: English

Categories

Abstract

This paper depicts better way to detect the faults, due to short-circuit (SC) and open-circuit (OC) faults, inverter disconnection (ID) and partial shading (PS). Fault detection indicators namely, current indicator, voltage indicator and power indicator identifies healthy from portions under fault. Single diode PV model with artificial bee colony (ABC) optimization algorithm extracts the unknown model parameters. Parameters for PV operation are determined by the coordinates of the maximum power point (MPP) [1, 2]. Calculation of indicators are achieved from measured and predicted MPP coordinates. Computed indicator values after trial and error will result in identifying the healthy and faulty operation of PV system. PV arrays are non-linear characteristics and quite expensive [3, 4]. Solar panel has been developed in many engineering fields using some software like MATLAB /SIMULINK. PV system converts light energy to electrical energy.


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