DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

Hassane Ousseyni Ibrahim; François-Xavier Fifatin; Arouna Oloulade; Adolphe Moukengue Imano; Antoine Cokou Vianou

doi:doi:10.11648/j.epes.20221102.11

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DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

Hassane Ousseyni Ibrahim, François-Xavier Fifatin, Arouna Oloulade, Adolphe Moukengue Imano, Antoine Cokou Vianou

Published in American Journal of Electrical Power and Energy Systems (Volume 11, Issue 2)

Received: 25 April 2022 Accepted: 11 May 2022 Published: 19 May 2022

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Abstract

The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analytic-metaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.

Published in	American Journal of Electrical Power and Energy Systems (Volume 11, Issue 2)
DOI	10.11648/j.epes.20221102.11
Page(s)	23-30
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), 2022. Published by Science Publishing Group

Keywords

Genetic Algorithm (GA), Bus Voltage Stability Index (BVSI), Distribution Static Compensator (DSTATCOM), Radial Distribution System (RDS)

References

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[2]	S. Devi, M. Geethanjali, “Optimal location and sizing determination of Distributed Generation and DSTATCOM using Particle Swarm Optimization algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 62, pp. 562-570, 2014.
[3]	S. A. Taher, S. A. Afsari, “Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 60, pp. 34-44, 2014.
[4]	K. Karthikeyan and P. K. Dhal, ``Optimal location of STATCOM based dynamic stability analysis tuning of PSS using particle swarm optimization,'' Mater. Today, Proc., vol. 5, no. 1, pp. 588_595, 2018.
[5]	Oloulade, Arouna. (2019). Contribution à l'optimisation multicritère du fonctionnement d'un réseau électrique de distribution par le placement optimal de dispositifs FACTS et la reconfiguration de sa topologie. 10.13140/RG.2.2.16323.76323.
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[8]	T. Yuvaraj, K. Ravi, and K. R. Devabalaji, "DSTATCOM allocation in distribution networks considering load variations using bat algorithm" Ain Shams Engineering Journal, vol. 8, no. 3, 2015. doi: 10.1016/j.asej.2015.08.006.
[9]	Devabalaji K. R. et Rav K. «Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using Bacterial Foraging Optimization Algorithm». In: Ain Shams Engineering Journal 7.3 (2016), p. 959–971.
[10]	Sedighizadeh, M.; Eisapour-Moarref, A. The Imperialist Competitive Algorithm for Optimal Multi-Objective Location and Sizingof DSTATCOM in Distribution Systems Considering Loads Uncertainty. INAE Lett. 2017, 2, 83–95 (2017).
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[13]	T. Zhang, X. Xu, Z. Li, A. Abu-Siada and Y. Guo, "Optimum Location and Parameter Setting of STATCOM Based on Improved Differential Evolution Harmony Search Algorithm," in IEEE Access, vol. 8, pp. 87810-87819, 2020, doi: 10.1109/ACCESS.2020.2993066.
[14]	Montoya, O. D.; Gil-González, W.; Hernández, J. C. Efficient Operative Cost Reduction in Distribution Grids Considering the Optimal Placement and Sizing of D-STATCOMs Using a Discrete-Continuous VSA. Appl. Sci. 2021, 11, 2175. https://doi.org/10.3390/app11052175.
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APA Style

Hassane Ousseyni Ibrahim, François-Xavier Fifatin, Arouna Oloulade, Adolphe Moukengue Imano, Antoine Cokou Vianou. (2022). DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. American Journal of Electrical Power and Energy Systems, 11(2), 23-30. https://doi.org/10.11648/j.epes.20221102.11

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ACS Style

Hassane Ousseyni Ibrahim; François-Xavier Fifatin; Arouna Oloulade; Adolphe Moukengue Imano; Antoine Cokou Vianou. DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. Am. J. Electr. Power Energy Syst. 2022, 11(2), 23-30. doi: 10.11648/j.epes.20221102.11

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AMA Style

Hassane Ousseyni Ibrahim, François-Xavier Fifatin, Arouna Oloulade, Adolphe Moukengue Imano, Antoine Cokou Vianou. DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. Am J Electr Power Energy Syst. 2022;11(2):23-30. doi: 10.11648/j.epes.20221102.11

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@article{10.11648/j.epes.20221102.11,
  author = {Hassane Ousseyni Ibrahim and François-Xavier Fifatin and Arouna Oloulade and Adolphe Moukengue Imano and Antoine Cokou Vianou},
  title = {DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {11},
  number = {2},
  pages = {23-30},
  doi = {10.11648/j.epes.20221102.11},
  url = {https://doi.org/10.11648/j.epes.20221102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20221102.11},
  abstract = {The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analytic-metaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.},
 year = {2022}
}

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TY  - JOUR
T1  - DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm
AU  - Hassane Ousseyni Ibrahim
AU  - François-Xavier Fifatin
AU  - Arouna Oloulade
AU  - Adolphe Moukengue Imano
AU  - Antoine Cokou Vianou
Y1  - 2022/05/19
PY  - 2022
N1  - https://doi.org/10.11648/j.epes.20221102.11
DO  - 10.11648/j.epes.20221102.11
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 23
EP  - 30
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20221102.11
AB  - The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analytic-metaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.
VL  - 11
IS  - 2
ER  -

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Author Information

Hassane Ousseyni Ibrahim

University Institute of Technology, University Dan Dicko Dankoulodo of Maradi, Maradi, Niger
François-Xavier Fifatin
Arouna Oloulade

Electrotechnic, Telecommunications and Informatics Laboratory (LETIA), University of Abomey-Calavi, Abomey-Calavi, Benin
Adolphe Moukengue Imano

Electronic, Electrotechnic, Automatic, Telecommunicatios Laboratory (LEEAT), University of Douala, Douala, Cameroun
Antoine Cokou Vianou

Laboratory of Thermophysic Characterization of Materials and Energy Mastering, University of Abomey-Calavi, Abomey-Calavi, Benin

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APA Style

Hassane Ousseyni Ibrahim, François-Xavier Fifatin, Arouna Oloulade, Adolphe Moukengue Imano, Antoine Cokou Vianou. (2022). DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. American Journal of Electrical Power and Energy Systems, 11(2), 23-30. https://doi.org/10.11648/j.epes.20221102.11

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ACS Style

Hassane Ousseyni Ibrahim; François-Xavier Fifatin; Arouna Oloulade; Adolphe Moukengue Imano; Antoine Cokou Vianou. DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. Am. J. Electr. Power Energy Syst. 2022, 11(2), 23-30. doi: 10.11648/j.epes.20221102.11

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AMA Style

Hassane Ousseyni Ibrahim, François-Xavier Fifatin, Arouna Oloulade, Adolphe Moukengue Imano, Antoine Cokou Vianou. DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm. Am J Electr Power Energy Syst. 2022;11(2):23-30. doi: 10.11648/j.epes.20221102.11

Copy | Download

@article{10.11648/j.epes.20221102.11,
  author = {Hassane Ousseyni Ibrahim and François-Xavier Fifatin and Arouna Oloulade and Adolphe Moukengue Imano and Antoine Cokou Vianou},
  title = {DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {11},
  number = {2},
  pages = {23-30},
  doi = {10.11648/j.epes.20221102.11},
  url = {https://doi.org/10.11648/j.epes.20221102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20221102.11},
  abstract = {The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analytic-metaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.},
 year = {2022}
}

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TY  - JOUR
T1  - DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm
AU  - Hassane Ousseyni Ibrahim
AU  - François-Xavier Fifatin
AU  - Arouna Oloulade
AU  - Adolphe Moukengue Imano
AU  - Antoine Cokou Vianou
Y1  - 2022/05/19
PY  - 2022
N1  - https://doi.org/10.11648/j.epes.20221102.11
DO  - 10.11648/j.epes.20221102.11
T2  - American Journal of Electrical Power and Energy Systems
JF  - American Journal of Electrical Power and Energy Systems
JO  - American Journal of Electrical Power and Energy Systems
SP  - 23
EP  - 30
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20221102.11
AB  - The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analytic-metaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.
VL  - 11
IS  - 2
ER  -

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