Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data

The increased proliferation of power electronic-based devices and their necessity in daily life will lead to power quality problems in distribution networks, particularly residential feeders. Maintaining a high level of power quality is a crucial performance evaluation indicator for both operation a...

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Main Authors: Chra Fariq Raouf, Asso Raouf Majeed
Format: Article
Language:Arabic
Published: University of Sulaimania 2024-12-01
Series:Sulaimani Journal for Engineering Sciences
Subjects:
Online Access:https://sjes.univsul.edu.iq/article?id=168
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author Chra Fariq Raouf
Asso Raouf Majeed
author_facet Chra Fariq Raouf
Asso Raouf Majeed
author_sort Chra Fariq Raouf
collection DOAJ
description The increased proliferation of power electronic-based devices and their necessity in daily life will lead to power quality problems in distribution networks, particularly residential feeders. Maintaining a high level of power quality is a crucial performance evaluation indicator for both operation and planning. Understanding power quality issues through network monitoring will help mitigate the detrimental effects of these problems for both sides (power providers and consumers). Nowadays, the data recorded by the emerging smart meters in the distribution networks represent an efficient tool to monitor and assess the power quality delivered to consumers. This paper presents monitoring of some power quality indices such as Total Voltage Harmonic Distortion (TVHD), Phase Voltage Unbalance Rate (PVUR), power factor, overvoltage, and frequency variation over six months. The results are assessed according to international standards. The study is conducted on four residential feeders of Raparin substation, comprising a total of 105 nodes. The results show that PVUR is within standard limit for all the nodes, the system frequency is mostly above 50 Hz, TVHD exceeded IEEE limits at some nodes, and some nodes experienced low power factor.
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publishDate 2024-12-01
publisher University of Sulaimania
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series Sulaimani Journal for Engineering Sciences
spelling doaj-art-78d66fd1e3c548428a7c8e94c68f95a02025-08-20T02:56:30ZaraUniversity of SulaimaniaSulaimani Journal for Engineering Sciences2410-16992415-66552024-12-011119811010.17656/sjes.10186Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter DataChra Fariq Raouf0Asso Raouf Majeed1University of Sulaimani, College of Engineering, Electrical Engineering DepartmentUniversity of Sulaimani, College of Engineering, Electrical Engineering DepartmentThe increased proliferation of power electronic-based devices and their necessity in daily life will lead to power quality problems in distribution networks, particularly residential feeders. Maintaining a high level of power quality is a crucial performance evaluation indicator for both operation and planning. Understanding power quality issues through network monitoring will help mitigate the detrimental effects of these problems for both sides (power providers and consumers). Nowadays, the data recorded by the emerging smart meters in the distribution networks represent an efficient tool to monitor and assess the power quality delivered to consumers. This paper presents monitoring of some power quality indices such as Total Voltage Harmonic Distortion (TVHD), Phase Voltage Unbalance Rate (PVUR), power factor, overvoltage, and frequency variation over six months. The results are assessed according to international standards. The study is conducted on four residential feeders of Raparin substation, comprising a total of 105 nodes. The results show that PVUR is within standard limit for all the nodes, the system frequency is mostly above 50 Hz, TVHD exceeded IEEE limits at some nodes, and some nodes experienced low power factor.https://sjes.univsul.edu.iq/article?id=168power quality problempower quality assessmenttvhdpvurfrequency variation
spellingShingle Chra Fariq Raouf
Asso Raouf Majeed
Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
Sulaimani Journal for Engineering Sciences
power quality problem
power quality assessment
tvhd
pvur
frequency variation
title Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
title_full Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
title_fullStr Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
title_full_unstemmed Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
title_short Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data
title_sort power quality assessment in radial distribution feeders based on smart meter data
topic power quality problem
power quality assessment
tvhd
pvur
frequency variation
url https://sjes.univsul.edu.iq/article?id=168
work_keys_str_mv AT chrafariqraouf powerqualityassessmentinradialdistributionfeedersbasedonsmartmeterdata
AT assoraoufmajeed powerqualityassessmentinradialdistributionfeedersbasedonsmartmeterdata