Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm

Islanding refers to a condition where distributed generators (DGs) inject power solely to the local load after electrical separation from power grid. Several islanding detection methods (IDMs) categorized into remote, active, and passive groups have been reported to detect this undesirable state. In...

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Main Authors: Reza Bakhshi-Jafarabadi, Reza Ghazi, Javad Sadeh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8967189/
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spelling doaj-ee767493303144c0afa74dc6b8a4d2902021-04-23T16:14:59ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202020-01-018478779510.35833/MPCE.2018.0005098967189Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection AlgorithmReza Bakhshi-Jafarabadi0Reza Ghazi1Javad Sadeh2Faculty of Engineering, Ferdowsi University of Mashhad,Electrical Engineering Department,Mashhad,IranFaculty of Engineering, Ferdowsi University of Mashhad,Electrical Engineering Department,Mashhad,IranFaculty of Engineering, Ferdowsi University of Mashhad,Electrical Engineering Department,Mashhad,IranIslanding refers to a condition where distributed generators (DGs) inject power solely to the local load after electrical separation from power grid. Several islanding detection methods (IDMs) categorized into remote, active, and passive groups have been reported to detect this undesirable state. In active techniques, a disturbance is injected into the DG's controller to drift a local yardstick out of the permissible range. Although this disturbance leads to more effective detections even in well-balanced island, it raises the total harmonic distortion (THD) of the output current under the normal operation conditions. This paper analyzes the power quality aspect of the modified sliding mode controller as a new active IDM for grid-connected photovoltaic system (GCPVS) with a string inverter. Its performance is compared with the voltage positive feedback (VPF) method, a well-known active IDM. This evaluation is carried out for a 1 kWp GCPVS in MATLAB/Simulink platform by measuring the output current harmonics and THD as well as the efficiency under various penetration and disturbance levels. The output results demonstrate that since the proposed disturbance changes the amplitude of the output current, it does not generate harmonics/subharmonics. Thereby, it has a negligible adverse effect on power quality. It is finally concluded that the performance of the sliding mode-based IDM is reliable from the standpoints of islanding detection and power quality.https://ieeexplore.ieee.org/document/8967189/Islanding detection method (IDM)power qualitysliding mode controllertotal harmonic distortion (THD)voltage positive feedback (VPF)
collection DOAJ
language English
format Article
sources DOAJ
author Reza Bakhshi-Jafarabadi
Reza Ghazi
Javad Sadeh
spellingShingle Reza Bakhshi-Jafarabadi
Reza Ghazi
Javad Sadeh
Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
Journal of Modern Power Systems and Clean Energy
Islanding detection method (IDM)
power quality
sliding mode controller
total harmonic distortion (THD)
voltage positive feedback (VPF)
author_facet Reza Bakhshi-Jafarabadi
Reza Ghazi
Javad Sadeh
author_sort Reza Bakhshi-Jafarabadi
title Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
title_short Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
title_full Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
title_fullStr Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
title_full_unstemmed Power Quality Assessment of Voltage Positive Feedback Based Islanding Detection Algorithm
title_sort power quality assessment of voltage positive feedback based islanding detection algorithm
publisher IEEE
series Journal of Modern Power Systems and Clean Energy
issn 2196-5420
publishDate 2020-01-01
description Islanding refers to a condition where distributed generators (DGs) inject power solely to the local load after electrical separation from power grid. Several islanding detection methods (IDMs) categorized into remote, active, and passive groups have been reported to detect this undesirable state. In active techniques, a disturbance is injected into the DG's controller to drift a local yardstick out of the permissible range. Although this disturbance leads to more effective detections even in well-balanced island, it raises the total harmonic distortion (THD) of the output current under the normal operation conditions. This paper analyzes the power quality aspect of the modified sliding mode controller as a new active IDM for grid-connected photovoltaic system (GCPVS) with a string inverter. Its performance is compared with the voltage positive feedback (VPF) method, a well-known active IDM. This evaluation is carried out for a 1 kWp GCPVS in MATLAB/Simulink platform by measuring the output current harmonics and THD as well as the efficiency under various penetration and disturbance levels. The output results demonstrate that since the proposed disturbance changes the amplitude of the output current, it does not generate harmonics/subharmonics. Thereby, it has a negligible adverse effect on power quality. It is finally concluded that the performance of the sliding mode-based IDM is reliable from the standpoints of islanding detection and power quality.
topic Islanding detection method (IDM)
power quality
sliding mode controller
total harmonic distortion (THD)
voltage positive feedback (VPF)
url https://ieeexplore.ieee.org/document/8967189/
work_keys_str_mv AT rezabakhshijafarabadi powerqualityassessmentofvoltagepositivefeedbackbasedislandingdetectionalgorithm
AT rezaghazi powerqualityassessmentofvoltagepositivefeedbackbasedislandingdetectionalgorithm
AT javadsadeh powerqualityassessmentofvoltagepositivefeedbackbasedislandingdetectionalgorithm
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