Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm

Arouna Oloulade; Adolphe Moukengue Imano; François Xavier Fifatin; Auriole Prudence Omoremy; Amédée Ganye; Ramanou Badarou; Antoine Viannou; Mahamoud Tanimomon

doi:doi:10.11648/j.epes.20200905.11

Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm

Arouna Oloulade, Adolphe Moukengue Imano, François Xavier Fifatin, Auriole Prudence Omoremy, Amédée Ganye, Ramanou Badarou, Antoine Viannou, Mahamoud Tanimomon

Published in American Journal of Electrical Power and Energy Systems (Volume 9, Issue 5)

Received: 18 May 2020 Accepted: 4 June 2020 Published: 21 September 2020

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Abstract

In an energy environment with multiple production sources, operators are generally confronted with the optimal choice of sources which minimizes polluting gas emissions, losses and marginal production costs while meeting the contractual requirements for maintaining voltage in the ranges required. The present work consisted of optimizing an energy mix in the presence of multi-STATCOM in an interconnected network. Indeed, the (DEE) is a concrete real time problem in electrical energy production systems. This paper shows the impact of STATCOM on static DEE (DEES) and on dynamic DEE (DEED) using the modern genetic algorithm of type U-NSGA-III, which is based on non-dominance sorting. The optimal positioning of two STATCOMs in the application network associated with dynamic dispatching has contributed to the reduction of the total production cost, toxic gas emissions, active losses and then to the improvement of the voltage profiles and the transit of power in the branches. It is observed that the combination of DEED with the optimal positioning of FACTS in an interconnected network constitutes an efficient technico-ecological means to act in the direction of reduction on the triplet consisting of (gas emissions, losses, production cost). The relevance of the results obtained compared to the real case of operating the CEB's interconnected network, justifies the performance of the algorithmic tools developed in the context of this work.

Published in	American Journal of Electrical Power and Energy Systems (Volume 9, Issue 5)
DOI	10.11648/j.epes.20200905.11
Page(s)	74-81
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), 2020. Published by Science Publishing Group

Keywords

Environmental Economic Dispatching, Dynamic, Static, STATCOM, UNSGA-III, Multi-criteria Optimization, Interconnected Network, Transmission Network

References

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[3]	M. A. ABIDO. Environmental/economic power dimatch using multiobjective evolutionary algorithms: A comparative study. AIEE Transactions, pages 920–925, 2003.
[4]	ZEGGAR SEIF-EDDINE, «Dispatching Economique D’Energie Electrique Par Essaims De Particules Et Algorithmes Génétiques», thèse de master, Université de Constantine I, 2013.
[5]	L. H. WU, Y. N. WANG, X. F. YUAN, and S. W. ZHOU. Environmental/economic power dispatch problem using multi-objective differential evolution algorithm. Electric Power Systems Research, 80: 1171–1181, May 2010. doi: 10.1016/j.epsr.2010.03.010.
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[7]	Ngoffe Stève PERABI, Imano Adolphe MOUKENGUE, Essiane Salomé NDJAKOMO, and Ondoa Grégoire ABESSOLO. Résolution du problème d’engagement d’unités de production d’énergie électrique, de dispatching économique et environnemental sélectif par la méthode des couloirs d’observations. Afrique SCIENCE, 11: 74–85, 2015.
[8]	A. OLOULADE, A. MOUKENGUE IMANO, F. FIFATIN, S. GANYE, R. BADAROU, A. VIANNOU, H. TAMADAHO. 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. 10-19. DOI: 10.11648/j.ijecec.20190501.13.
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[15]	Léré Mitterand DEGUENON, Optimisation de la marge de stabilité de tension d’un réseau électrique par insertion de D-FACTS à l’aide du NSGA-II: cas du départ de Cotonou 4, mai 2018.
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APA Style

Arouna Oloulade, Adolphe Moukengue Imano, François Xavier Fifatin, Auriole Prudence Omoremy, Amédée Ganye, et al. (2020). Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. American Journal of Electrical Power and Energy Systems, 9(5), 74-81. https://doi.org/10.11648/j.epes.20200905.11

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ACS Style

Arouna Oloulade; Adolphe Moukengue Imano; François Xavier Fifatin; Auriole Prudence Omoremy; Amédée Ganye, et al. Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. Am. J. Electr. Power Energy Syst. 2020, 9(5), 74-81. doi: 10.11648/j.epes.20200905.11

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AMA Style

Arouna Oloulade, Adolphe Moukengue Imano, François Xavier Fifatin, Auriole Prudence Omoremy, Amédée Ganye, et al. Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. Am J Electr Power Energy Syst. 2020;9(5):74-81. doi: 10.11648/j.epes.20200905.11

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@article{10.11648/j.epes.20200905.11,
  author = {Arouna Oloulade and Adolphe Moukengue Imano and François Xavier Fifatin and Auriole Prudence Omoremy and Amédée Ganye and Ramanou Badarou and Antoine Viannou and Mahamoud Tanimomon},
  title = {Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {9},
  number = {5},
  pages = {74-81},
  doi = {10.11648/j.epes.20200905.11},
  url = {https://doi.org/10.11648/j.epes.20200905.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20200905.11},
  abstract = {In an energy environment with multiple production sources, operators are generally confronted with the optimal choice of sources which minimizes polluting gas emissions, losses and marginal production costs while meeting the contractual requirements for maintaining voltage in the ranges required. The present work consisted of optimizing an energy mix in the presence of multi-STATCOM in an interconnected network. Indeed, the (DEE) is a concrete real time problem in electrical energy production systems. This paper shows the impact of STATCOM on static DEE (DEES) and on dynamic DEE (DEED) using the modern genetic algorithm of type U-NSGA-III, which is based on non-dominance sorting. The optimal positioning of two STATCOMs in the application network associated with dynamic dispatching has contributed to the reduction of the total production cost, toxic gas emissions, active losses and then to the improvement of the voltage profiles and the transit of power in the branches. It is observed that the combination of DEED with the optimal positioning of FACTS in an interconnected network constitutes an efficient technico-ecological means to act in the direction of reduction on the triplet consisting of (gas emissions, losses, production cost). The relevance of the results obtained compared to the real case of operating the CEB's interconnected network, justifies the performance of the algorithmic tools developed in the context of this work.},
 year = {2020}
}

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TY  - JOUR
T1  - Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm
AU  - Arouna Oloulade
AU  - Adolphe Moukengue Imano
AU  - François Xavier Fifatin
AU  - Auriole Prudence Omoremy
AU  - Amédée Ganye
AU  - Ramanou Badarou
AU  - Antoine Viannou
AU  - Mahamoud Tanimomon
Y1  - 2020/09/21
PY  - 2020
N1  - https://doi.org/10.11648/j.epes.20200905.11
DO  - 10.11648/j.epes.20200905.11
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  - 74
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20200905.11
AB  - In an energy environment with multiple production sources, operators are generally confronted with the optimal choice of sources which minimizes polluting gas emissions, losses and marginal production costs while meeting the contractual requirements for maintaining voltage in the ranges required. The present work consisted of optimizing an energy mix in the presence of multi-STATCOM in an interconnected network. Indeed, the (DEE) is a concrete real time problem in electrical energy production systems. This paper shows the impact of STATCOM on static DEE (DEES) and on dynamic DEE (DEED) using the modern genetic algorithm of type U-NSGA-III, which is based on non-dominance sorting. The optimal positioning of two STATCOMs in the application network associated with dynamic dispatching has contributed to the reduction of the total production cost, toxic gas emissions, active losses and then to the improvement of the voltage profiles and the transit of power in the branches. It is observed that the combination of DEED with the optimal positioning of FACTS in an interconnected network constitutes an efficient technico-ecological means to act in the direction of reduction on the triplet consisting of (gas emissions, losses, production cost). The relevance of the results obtained compared to the real case of operating the CEB's interconnected network, justifies the performance of the algorithmic tools developed in the context of this work.
VL  - 9
IS  - 5
ER  -

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Author Information

Arouna Oloulade

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

Electronic, Electrotechnic, Automatic, Telecommunications Laboratory (LEEAT), University of Douala, Douala, Cameroon
François Xavier Fifatin
Auriole Prudence Omoremy

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

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

Polytechnic School of Abomey-Calavi (EPAC), University of Abomey-Calavi, Abomey-Calavi, Benin
Antoine Viannou

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

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

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APA Style

Arouna Oloulade, Adolphe Moukengue Imano, François Xavier Fifatin, Auriole Prudence Omoremy, Amédée Ganye, et al. (2020). Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. American Journal of Electrical Power and Energy Systems, 9(5), 74-81. https://doi.org/10.11648/j.epes.20200905.11

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ACS Style

Arouna Oloulade; Adolphe Moukengue Imano; François Xavier Fifatin; Auriole Prudence Omoremy; Amédée Ganye, et al. Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. Am. J. Electr. Power Energy Syst. 2020, 9(5), 74-81. doi: 10.11648/j.epes.20200905.11

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AMA Style

Arouna Oloulade, Adolphe Moukengue Imano, François Xavier Fifatin, Auriole Prudence Omoremy, Amédée Ganye, et al. Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm. Am J Electr Power Energy Syst. 2020;9(5):74-81. doi: 10.11648/j.epes.20200905.11

Copy | Download

@article{10.11648/j.epes.20200905.11,
  author = {Arouna Oloulade and Adolphe Moukengue Imano and François Xavier Fifatin and Auriole Prudence Omoremy and Amédée Ganye and Ramanou Badarou and Antoine Viannou and Mahamoud Tanimomon},
  title = {Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm},
  journal = {American Journal of Electrical Power and Energy Systems},
  volume = {9},
  number = {5},
  pages = {74-81},
  doi = {10.11648/j.epes.20200905.11},
  url = {https://doi.org/10.11648/j.epes.20200905.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20200905.11},
  abstract = {In an energy environment with multiple production sources, operators are generally confronted with the optimal choice of sources which minimizes polluting gas emissions, losses and marginal production costs while meeting the contractual requirements for maintaining voltage in the ranges required. The present work consisted of optimizing an energy mix in the presence of multi-STATCOM in an interconnected network. Indeed, the (DEE) is a concrete real time problem in electrical energy production systems. This paper shows the impact of STATCOM on static DEE (DEES) and on dynamic DEE (DEED) using the modern genetic algorithm of type U-NSGA-III, which is based on non-dominance sorting. The optimal positioning of two STATCOMs in the application network associated with dynamic dispatching has contributed to the reduction of the total production cost, toxic gas emissions, active losses and then to the improvement of the voltage profiles and the transit of power in the branches. It is observed that the combination of DEED with the optimal positioning of FACTS in an interconnected network constitutes an efficient technico-ecological means to act in the direction of reduction on the triplet consisting of (gas emissions, losses, production cost). The relevance of the results obtained compared to the real case of operating the CEB's interconnected network, justifies the performance of the algorithmic tools developed in the context of this work.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Multi-point Analysis of Economic, Environmental, Static and Dynamic Dispatching of an Energy Mix in the Presence of STATCOM by the U-NSGA-III Genetic Algorithm
AU  - Arouna Oloulade
AU  - Adolphe Moukengue Imano
AU  - François Xavier Fifatin
AU  - Auriole Prudence Omoremy
AU  - Amédée Ganye
AU  - Ramanou Badarou
AU  - Antoine Viannou
AU  - Mahamoud Tanimomon
Y1  - 2020/09/21
PY  - 2020
N1  - https://doi.org/10.11648/j.epes.20200905.11
DO  - 10.11648/j.epes.20200905.11
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  - 74
EP  - 81
PB  - Science Publishing Group
SN  - 2326-9200
UR  - https://doi.org/10.11648/j.epes.20200905.11
AB  - In an energy environment with multiple production sources, operators are generally confronted with the optimal choice of sources which minimizes polluting gas emissions, losses and marginal production costs while meeting the contractual requirements for maintaining voltage in the ranges required. The present work consisted of optimizing an energy mix in the presence of multi-STATCOM in an interconnected network. Indeed, the (DEE) is a concrete real time problem in electrical energy production systems. This paper shows the impact of STATCOM on static DEE (DEES) and on dynamic DEE (DEED) using the modern genetic algorithm of type U-NSGA-III, which is based on non-dominance sorting. The optimal positioning of two STATCOMs in the application network associated with dynamic dispatching has contributed to the reduction of the total production cost, toxic gas emissions, active losses and then to the improvement of the voltage profiles and the transit of power in the branches. It is observed that the combination of DEED with the optimal positioning of FACTS in an interconnected network constitutes an efficient technico-ecological means to act in the direction of reduction on the triplet consisting of (gas emissions, losses, production cost). The relevance of the results obtained compared to the real case of operating the CEB's interconnected network, justifies the performance of the algorithmic tools developed in the context of this work.
VL  - 9
IS  - 5
ER  -

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