Power quality is a significant issue that has become increasingly important to both electric power utilities and their customers because of financial losses caused by insufficient. In this work, the Fourier transform (FT) has been exploited for the statistical investigation of the disturbances affecting the electrical distribution networks (HTA) in South-Benin. The data coming from the overhead line disturbances and underground cables, especially from the source substations of MARIA-GLETA, VEDOKO, AKPAKPA, GBEGAMEY and SEME have been treated. These data have been collected and made in our disposal by the Beninese Electricity Energy Company (SBEE) over the period from 2010 to 2017. Harmonic Distortion Rate (TDH) and the Disturbance Rate (DR) have been used to evaluate the variation coefficient of the different disturbances registered at the each source substation, in order to characterize the harmonic pollution and the reactive power consumption. According to the EN 50160 N standard, the results obtained show that VEDOKO registered 500 to 2000 interruptions of duration between 0.4x105 and 1.8x105 minutes, between 2013 and 2016 especially due to a very critical load shedding. The dominance of the disturbances observed has been due exclusively to the incidents setting off and the load shedding incidents in 2017. 2013 and 2015 have been characterized by the frequent blackouts of long living, and occasion considerable damages, and consequently slow down the economic activities, social and cultural life of consumers.
| Published in | Journal of Electrical and Electronic Engineering (Volume 10, Issue 1) |
| DOI | 10.11648/j.jeee.20221001.13 |
| Page(s) | 18-30 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Power Quality, Fourier Transform, Harmonic Distortion Rate, Disturbance Rate, Load Shedding, Incidents Setting off
| [1] | Borrás-Talavera M D, Bravo J C, Álvarez-Arroyo C. Instantaneous Disturbance Index for Power Distribution Networks. Sensors, 2021, 21 (4), 1348. |
| [2] | MERPMDER/SBEE, Rapport statistique annuel, Direction des Etudes et du Développement, 2015, pp. 1-142. |
| [3] | Djamel L. Production décentralisée et couplage au réseau, Thèse de Doctorat Algérie, 2008. |
| [4] | Benoit M N, Géraud J J. Stabilité dynamique des réseaux électriques Industriels, cahier Technique 185 édition Janvier, 1997. |
| [5] | Mathieu C. Identification et Caractérisation des Perturbations Affectant les Reseaux Electriques HTA, Thèse de Doctorat, France, 2011. |
| [6] | Benoit M. N. Calculs sur les réseaux électriques BT et HT, cahier Technique 213, édition Décembre, 2004. |
| [7] | Julian G, Shreena P. Rapport d’Évaluation du Secteur de l’Électricité Préparé pour la Millennium Challenge Corporation. Washington, DC: Millennium Challenge Corporation, Décembre, 2014. |
| [8] | Sarah H, Christopher K, Kristine B, Anthony H, Galina L, Cullen S, Dara B. Evaluation des Projets de Production et de Distribution d’Electricité du Compact Energie du Bénin: Rapport de Référence, Millennium Challenge Corporation, Novembre, 2019. |
| [9] | Kaewarsa S, Attakitmongcol K. Wavelet-based neural network for power quality disturbance recognition and classification. Australian Journal of Electrical and Electronics Engineering, 2006, 3 (1), pp. 67-76. |
| [10] | Mishra S, Bhende C N, Panigrahi B K. Detection and classification of power quality disturbances using S-transform and probabilistic neural networks. IEEE Transactions on Power Delivery, 2008, 23 (1), pp. 280-287. |
| [11] | Sami E. Classification of power system disturbances using support vector machines. Expert Systems with Applications, 2009, 36, pp. 9859-9868. |
| [12] | Monedero I, Carlos L, Jorge R, Garcia A, José M E, Juan C. Classification of Electrical Disturbances in Real Time using Neural Networks. IEEE Transactions on Power Delivery, 2007, 22 (3), pp. 1288-1296. |
| [13] | Eldin E S M T. Characterisation of power quality disturbances based on wavelet transforms. Internatıonal Journal of Energy Technology and Polıcy 2006, 4 (1/2), pp. 74-84. |
| [14] | Bollen M H J. Understanding power quality problems: Voltage sags and interruptions. Wiley IEEE Press. Power Technology and Power Engineering, 1999. |
| [15] | Jun W, Saha T K. Simulation of power quality problems on a university distribution system. In IEEE power engineering society general meeting. Seattle, WA, USA, 2000, pp. 2326-2331. |
| [16] | Kanitpanyacharoean W, Premrudeepreechacharn S. Power quality problem classification using wavelet transformation and artificial neural networks. In IEEE power systems conference and exposition Chiang Mai, Thailand, 2004, pp. 1496-1501. |
| [17] | Wijayakulasooriya J V, Putrus G A, Minns P D. Electric power quality disturbance classification using self-adapting artificial neural networks. IEE Proceedings: Generation Transmission and Distribution, 2002, 149, pp. 98-101. |
| [18] | Gerald T H. Electric Power Quality: A Tutorial Introduction. IEEE Computer Applications in Power, 1998, 11 (1), pp. 15-19. |
| [19] | Masoum M, Jamali S, Gha arzadeh N. Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks. IET Science Measurement and Technology, 2010, 4 (4), pp. 193-205. |
| [20] | Khokhar S, Mohd Zin A A, Mokhtar A S, Zareen N. Automatic pattern recognition of single and multiple power quality disturbances. Australian Journal of Electrical and Electronics Engineering, 2016, 13, pp. 43-53. |
| [21] | Granados L D, Romero T R J, Osornio-Rios R A, Garcia-Perez A, Cabal-Yepez E. Techniques and methodologies for power quality analysis and disturbances classification in power systems: A review. IET Generation Transmission and Distribution, 2011, 5 (4), pp. 519-529. |
| [22] | Haddad S. Gestion de la qualite d’énergie électrique dans un réseau de transmission, Thèse de Doctorat, Algérie, 2010. |
| [23] | Natarajan R. Power System Capacitors. Taylor and Francis, 2005. |
| [24] | Caractéristiques de la qualité de la tension fournie par les réseaux moyenne et basse tension d’Hydro-Québec - Hydro-Québec, Juillet, 2016. |
| [25] | STE d’EDF GDF Services. Plan de protection des réseaux HTA-B. 61-24 Electrotechnique de réseau EDF, 1994. |
| [26] | STE d’EDF GDF Services. Plan de protection des réseaux HTA-B. 61-21 Principes EDF, 1994. |
| [27] | Philippe F. Etude des régimes transitoires à l’établissement d’un défaut monophasé sur réseau d’énergie triphasé moyenne tension à neutre compensé, PhD Juillet, 1995. |
| [28] | Berthet L. Comportement des Réseaux Compensés HTA en Présence d’un Défaut Monophasé, HR-45/98/022/A, Avril, 1998. |
| [29] | Heathcote M J. The J&P Transformer Book, 12Th Edition Newnes, 1998. |
| [30] | Kulkarni S V, Khaparde S A. Transformer Engineering-Design and Practice Dekker, 2004. |
| [31] | EN 50610 (NF C02-160): Caractéristiques de la tension fournie par les réseaux publics de distribution, Union Technique de l’Electricité et de la communication (UTE) France, 2000. |
| [32] | Bhattacharyya S, Cobben S. Consequences of poor power quality-An overview. In Power Quality; Intech Open: Rijeka Croatia, 2011. |
| [33] | Nuccio S, Cataliotti A, Cara D D, Cosentino V, Emanuel A, Abreu Jp, Arseneau R, Brcon S, Berrisford A, Baghzouz Y, Willems J. IEEE Standard Definitions for the Measurement of Electric Power Quantities under Sinusoidal, Non sinusoidal, Balanced, or Unbalanced Conditions; IEEE Std. 1459-2010. IEEE Standards Piscataway, NJ, USA, 2010, pp. 1-50. |
| [34] | Hooshmand R A, Enshaee A. Detection and classification of single and combined power quality disturbances using fuzzy systems oriented by particle swarm optimization algorithm. Electric Power Systems Research. 2010, 80, pp. 1552-1561. |
| [35] | Gu Y H, Bellon M H J. Time-frequency and time-scale domain analysis of voltage disturbances. IEEE Transactions on Power Delivery, 2000, 15, pp. 1279-1284. |
| [36] | Jaramillo S H, Heydt G T, O’Neill-Carrillo E. Power quality indices for aperiodic voltages and currents. IEEE Transactions on Power Delivery, 2000, 15, pp. 784-790. |
| [37] | Heydt G, Fjeld P S, Liu C C, Pierce D, Tu L, Hensley G. Applications of the windowed FFT to electric power quality assessment. IEEE Transactions on Power Delivery. 1999, 14, pp. 1411-1416. |
| [38] | Barros J, Diego R I. Application of the wavelet-packet transform to the estimation of harmonic groups in current and voltage waveforms. IEEE Transactions on Power Delivery. 2006, 21, pp. 533-535. |
| [39] | Zhang M, Li K, Hu Y. A real-time classification method of power quality disturbances. Electric Power Systems Research, 2011, 81, pp. 660-666. |
| [40] | Chilukuri M V, Dash P K. Multiresolution S-Transform-Based Fuzzy Recognition System for Power Quality Events. IEEE Transactions on Power Delivery. 2004, 19, pp. 323-330. |
| [41] | Axelberg P G V, Gu I Y, Bollen, M H J. Support Vector Machine for classification of voltage disturbances. IEEE Transactions on Power Delivery. 2007, 22, pp. 1297-1303. |
| [42] | Dash P K, Panigrahi B K.; Sahoo P K, Panda G. Power quality disturbance data compression, detection and classification using integrated spline wavelet and S-transform. IEEE Transactions on Power Delivery, 2003, 18, pp. 595-600. |
| [43] | Uyara M, Yildirima S, Gencoglub M T. An effective wavelet-based feature extraction method for classification of power quality disturbance signals. Electric Power Systems Research, 2008, 78, pp. 1747-1755. |
| [44] | Lin W M, Wu C H, Lin C H, Chen F S. Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM. IEEE Transactions on Power Delivery. 2008, 23, pp. 2575-2582. |
| [45] | Poisson O, Rioual P, Meunier M, Detection and measurement of power quality disturbances using wavelet transform. IEEE Transactions on Power Delivery, 2000, 15, pp. 1039-1044. |
| [46] | Decanini J G M S, Tonelli-Neto M S, Malange F C V, Minussi C R. Detection and classification of voltage disturbances using a Fuzzy ARTMAP-wavelet network. Electric Power Components and Systems, 2011, 81, pp. 2057-2065. |
| [47] | Gaouda A M, Salama M M A, Sultan M R, Chikhani A Y. Power quality detection and classification using wavelet-multiresolution signal decomposition. IEEE Transactions on Power Delivery, 1999, 14, pp. 1469-1476. |
| [48] | Reddy M J B, Mohanta D K, Sagar K. A Multifunctional Real-Time Power Quality Monitoring System Using Stockwell Transform. IET Science, Measurement and Technology, 2014, 8, pp. 155-169. |
| [49] | Granados-Lieberman D, Romero-Troncoso R J, Osornio-Rios R A, Garcia-Perez A, Cabal-Yepez E. Techniques and methodologies for power quality analysis and disturbances classification in power systems: A review, IET Generation, Transmission and Distribution, 2011, 5, pp. 519-529. |
| [50] | Stockwell R G, Mansinha L, Lowe R P. Localization of the complex spectrum: The S transforms. IEEE Transactions on Signal Processing, 1996, 44, PP. 998-1001. |
| [51] | Chen Y L, Hu H W, Tang K. Constructing a decision tree from data with hierarchical class labels. Expert Systems with Applications, 2009, 36, pp. 4838-4847. |
| [52] | Ray P, Kishor N, Mohanty S. Islanding and power quality disturbance detection in grid-connected hybrid power system using wavelet and S-transform. IEEE Transactions on Smart Grid, 2012, 3, pp. 1082-1094. |
| [53] | Dash P K, Panigrahi B K, Panda G. Power quality analysis using S Transform. IEEE Transaction Power Del, 2003, 18, pp. 406-411. |
| [54] | Parvez I, Aghili M, Sarwat A I, Rahman S, Fahmida A. Online power quality disturbance detection by support vector machine in smart meter. Journal of Modern Power Systems and Clean Energy, 2019, 7, pp. 1328-1339. |
| [55] | Yan W, Qunzhan L I, Fulin Z. Transient power quality disturbance denoising and detection based on improved iterative adaptive kernel regression. Journal of Modern Power Systems and Clean Energy, 2019, 7, pp. 644-657. |
| [56] | Zhong T, Zhang S, Cai G, Li Y, Yang B, Chen Y. Power Quality Disturbance Recognition Based on Multiresolution S-Transform and Decision Tree. IEEE Transactions on Power Delivery, 2019, 7, pp. 88380-8839. |
| [57] | Lin L, Wang D, Zhao S, Chen L, Huang N. Power quality disturbance feature selection and pattern recognition based on image enhancement techniques. IEEE Transactions on Power Delivery, 2019, 7, pp. 67889-67904. |
APA Style
Oswald Gbètondji Acclassato, Mathias Adjimon Houékpohéha, Irénée Vianou Madogni, Hagninou Elagnon Venance Donnou, Etienne Houngninou, et al. (2022). Statistical Investigation of the Disturbances Affecting the Power Distribution Networks (HTB/HTA) of a Few Source Substations in South-Benin. Journal of Electrical and Electronic Engineering, 10(1), 18-30. https://doi.org/10.11648/j.jeee.20221001.13
ACS Style
Oswald Gbètondji Acclassato; Mathias Adjimon Houékpohéha; Irénée Vianou Madogni; Hagninou Elagnon Venance Donnou; Etienne Houngninou, et al. Statistical Investigation of the Disturbances Affecting the Power Distribution Networks (HTB/HTA) of a Few Source Substations in South-Benin. J. Electr. Electron. Eng. 2022, 10(1), 18-30. doi: 10.11648/j.jeee.20221001.13
AMA Style
Oswald Gbètondji Acclassato, Mathias Adjimon Houékpohéha, Irénée Vianou Madogni, Hagninou Elagnon Venance Donnou, Etienne Houngninou, et al. Statistical Investigation of the Disturbances Affecting the Power Distribution Networks (HTB/HTA) of a Few Source Substations in South-Benin. J Electr Electron Eng. 2022;10(1):18-30. doi: 10.11648/j.jeee.20221001.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.jeee.20221001.13,
author = {Oswald Gbètondji Acclassato and Mathias Adjimon Houékpohéha and Irénée Vianou Madogni and Hagninou Elagnon Venance Donnou and Etienne Houngninou and Basile Bruno Kounouhéwa},
title = {Statistical Investigation of the Disturbances Affecting the Power Distribution Networks (HTB/HTA) of a Few Source Substations in South-Benin},
journal = {Journal of Electrical and Electronic Engineering},
volume = {10},
number = {1},
pages = {18-30},
doi = {10.11648/j.jeee.20221001.13},
url = {https://doi.org/10.11648/j.jeee.20221001.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20221001.13},
abstract = {Power quality is a significant issue that has become increasingly important to both electric power utilities and their customers because of financial losses caused by insufficient. In this work, the Fourier transform (FT) has been exploited for the statistical investigation of the disturbances affecting the electrical distribution networks (HTA) in South-Benin. The data coming from the overhead line disturbances and underground cables, especially from the source substations of MARIA-GLETA, VEDOKO, AKPAKPA, GBEGAMEY and SEME have been treated. These data have been collected and made in our disposal by the Beninese Electricity Energy Company (SBEE) over the period from 2010 to 2017. Harmonic Distortion Rate (TDH) and the Disturbance Rate (DR) have been used to evaluate the variation coefficient of the different disturbances registered at the each source substation, in order to characterize the harmonic pollution and the reactive power consumption. According to the EN 50160 N standard, the results obtained show that VEDOKO registered 500 to 2000 interruptions of duration between 0.4x105 and 1.8x105 minutes, between 2013 and 2016 especially due to a very critical load shedding. The dominance of the disturbances observed has been due exclusively to the incidents setting off and the load shedding incidents in 2017. 2013 and 2015 have been characterized by the frequent blackouts of long living, and occasion considerable damages, and consequently slow down the economic activities, social and cultural life of consumers.},
year = {2022}
}
TY - JOUR T1 - Statistical Investigation of the Disturbances Affecting the Power Distribution Networks (HTB/HTA) of a Few Source Substations in South-Benin AU - Oswald Gbètondji Acclassato AU - Mathias Adjimon Houékpohéha AU - Irénée Vianou Madogni AU - Hagninou Elagnon Venance Donnou AU - Etienne Houngninou AU - Basile Bruno Kounouhéwa Y1 - 2022/02/16 PY - 2022 N1 - https://doi.org/10.11648/j.jeee.20221001.13 DO - 10.11648/j.jeee.20221001.13 T2 - Journal of Electrical and Electronic Engineering JF - Journal of Electrical and Electronic Engineering JO - Journal of Electrical and Electronic Engineering SP - 18 EP - 30 PB - Science Publishing Group SN - 2329-1605 UR - https://doi.org/10.11648/j.jeee.20221001.13 AB - Power quality is a significant issue that has become increasingly important to both electric power utilities and their customers because of financial losses caused by insufficient. In this work, the Fourier transform (FT) has been exploited for the statistical investigation of the disturbances affecting the electrical distribution networks (HTA) in South-Benin. The data coming from the overhead line disturbances and underground cables, especially from the source substations of MARIA-GLETA, VEDOKO, AKPAKPA, GBEGAMEY and SEME have been treated. These data have been collected and made in our disposal by the Beninese Electricity Energy Company (SBEE) over the period from 2010 to 2017. Harmonic Distortion Rate (TDH) and the Disturbance Rate (DR) have been used to evaluate the variation coefficient of the different disturbances registered at the each source substation, in order to characterize the harmonic pollution and the reactive power consumption. According to the EN 50160 N standard, the results obtained show that VEDOKO registered 500 to 2000 interruptions of duration between 0.4x105 and 1.8x105 minutes, between 2013 and 2016 especially due to a very critical load shedding. The dominance of the disturbances observed has been due exclusively to the incidents setting off and the load shedding incidents in 2017. 2013 and 2015 have been characterized by the frequent blackouts of long living, and occasion considerable damages, and consequently slow down the economic activities, social and cultural life of consumers. VL - 10 IS - 1 ER -
Email: