Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm

Oloulade Arouna; Moukengue Imano Adolphe; Fifatin François-Xavier; Ganye Sewlan Amedee Arcadius; Badarou Ramanou; Vianou Antoine; Tamadaho Herman

doi:doi:10.11648/j.ijecec.20190501.13

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Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, Vianou Antoine, Tamadaho Herman

Received: 17 May 2019 Accepted: 17 June 2019 Published: 2 July 2019

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Abstract

The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.

DOI	10.11648/j.ijecec.20190501.13
Published in	International Journal of Electrical Components and Energy Conversion (Volume 5, Issue 1, June 2019)
Page(s)	10-19
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

Keywords

U-NSGA-III, CEB, Hypervolume, UPFC, DE

References

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[5]	J. P. Navani, M. Goyal, et S. Sapra, «Optimal Placement of TCSC and UPFC for Enhancement of Steady State Security in Power System», no 2, p. 8.
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[9]	A. Bhandakkar Atul et L. Mathew, «Optimal Placement of Unified Power Flow Controller and Hybrid Power Flow Controller Using Optimization Technique», 2018.
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[13]	B. V. Kumar et N. V. Srikanth, «A hybrid approach for optimal location and capacity of UPFC to improve the dynamic stability of the power system», Applied Soft Computing, vol. 52, p. 974‑986, mars 2017.
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APA Style

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, et al. (2019). Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. International Journal of Electrical Components and Energy Conversion, 5(1), 10-19. https://doi.org/10.11648/j.ijecec.20190501.13

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ACS Style

Oloulade Arouna; Moukengue Imano Adolphe; Fifatin François-Xavier; Ganye Sewlan Amedee Arcadius; Badarou Ramanou, et al. Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. Int. J. Electr. Compon. Energy Convers. 2019, 5(1), 10-19. doi: 10.11648/j.ijecec.20190501.13

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AMA Style

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, et al. Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. Int J Electr Compon Energy Convers. 2019;5(1):10-19. doi: 10.11648/j.ijecec.20190501.13

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@article{10.11648/j.ijecec.20190501.13,
  author = {Oloulade Arouna and Moukengue Imano Adolphe and Fifatin François-Xavier and Ganye Sewlan Amedee Arcadius and Badarou Ramanou and Vianou Antoine and Tamadaho Herman},
  title = {Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm},
  journal = {International Journal of Electrical Components and Energy Conversion},
  volume = {5},
  number = {1},
  pages = {10-19},
  doi = {10.11648/j.ijecec.20190501.13},
  url = {https://doi.org/10.11648/j.ijecec.20190501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20190501.13},
  abstract = {The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.},
 year = {2019}
}

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TY  - JOUR
T1  - Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm
AU  - Oloulade Arouna
AU  - Moukengue Imano Adolphe
AU  - Fifatin François-Xavier
AU  - Ganye Sewlan Amedee Arcadius
AU  - Badarou Ramanou
AU  - Vianou Antoine
AU  - Tamadaho Herman
Y1  - 2019/07/02
PY  - 2019
N1  - https://doi.org/10.11648/j.ijecec.20190501.13
DO  - 10.11648/j.ijecec.20190501.13
T2  - International Journal of Electrical Components and Energy Conversion
JF  - International Journal of Electrical Components and Energy Conversion
JO  - International Journal of Electrical Components and Energy Conversion
SP  - 10
EP  - 19
PB  - Science Publishing Group
SN  - 2469-8059
UR  - https://doi.org/10.11648/j.ijecec.20190501.13
AB  - The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.
VL  - 5
IS  - 1
ER  -

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Author Information

Oloulade Arouna

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

Laboratory of Electrical Engineering, Electronics, Automation and Telecommunications, University of Douala, Douala, Cameroon
Fifatin François-Xavier
Ganye Sewlan Amedee Arcadius

Electrotechnic, Telecommunications and Informatics Laboratory (LETIA), University of Abomey-Calavi, Abomey-Calavi, Benin
Badarou Ramanou

Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Abomey-Calavi, Benin
Vianou Antoine

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

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

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APA Style

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, et al. (2019). Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. International Journal of Electrical Components and Energy Conversion, 5(1), 10-19. https://doi.org/10.11648/j.ijecec.20190501.13

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ACS Style

Oloulade Arouna; Moukengue Imano Adolphe; Fifatin François-Xavier; Ganye Sewlan Amedee Arcadius; Badarou Ramanou, et al. Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. Int. J. Electr. Compon. Energy Convers. 2019, 5(1), 10-19. doi: 10.11648/j.ijecec.20190501.13

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AMA Style

Oloulade Arouna, Moukengue Imano Adolphe, Fifatin François-Xavier, Ganye Sewlan Amedee Arcadius, Badarou Ramanou, et al. Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm. Int J Electr Compon Energy Convers. 2019;5(1):10-19. doi: 10.11648/j.ijecec.20190501.13

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@article{10.11648/j.ijecec.20190501.13,
  author = {Oloulade Arouna and Moukengue Imano Adolphe and Fifatin François-Xavier and Ganye Sewlan Amedee Arcadius and Badarou Ramanou and Vianou Antoine and Tamadaho Herman},
  title = {Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm},
  journal = {International Journal of Electrical Components and Energy Conversion},
  volume = {5},
  number = {1},
  pages = {10-19},
  doi = {10.11648/j.ijecec.20190501.13},
  url = {https://doi.org/10.11648/j.ijecec.20190501.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20190501.13},
  abstract = {The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Optimal Placement of an Unified Power Flow Controller in a Transmission Network by Unified Non Dominated Sorting Genetic Algorithm-III and Differential Evolution Algorithm
AU  - Oloulade Arouna
AU  - Moukengue Imano Adolphe
AU  - Fifatin François-Xavier
AU  - Ganye Sewlan Amedee Arcadius
AU  - Badarou Ramanou
AU  - Vianou Antoine
AU  - Tamadaho Herman
Y1  - 2019/07/02
PY  - 2019
N1  - https://doi.org/10.11648/j.ijecec.20190501.13
DO  - 10.11648/j.ijecec.20190501.13
T2  - International Journal of Electrical Components and Energy Conversion
JF  - International Journal of Electrical Components and Energy Conversion
JO  - International Journal of Electrical Components and Energy Conversion
SP  - 10
EP  - 19
PB  - Science Publishing Group
SN  - 2469-8059
UR  - https://doi.org/10.11648/j.ijecec.20190501.13
AB  - The interconnected transmission network of the Benin Electric Community (CEB) presents excessive losses that will increase further by 2025 and severely degrade the power quality supplying. This paper presents the quarto-criterion optimization of the positioning of a UPFC in the CEB's HTB network by U-NSGA III and DE. The positioning of an UPFC on line 3 and node 6 of this network has qualitatively improved the technical performance of this transmission network with an optimal installation cost of US $ 13126657.03. The hypervolumes of the two calculated methods showed that the U-NSGA-III is more accurate in terms of trend toward global solutions than DE. These convincing results confirm the performance of the U-NSGA-III method compared to the DE which also resulted in results close to those obtained by the U-NSGA-III with more or less narrow difference.
VL  - 5
IS  - 1
ER  -

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