Improving the AC transmission expansion planning by using initial solutions algorithms

Nelson E. Matute; Santiago P. Torres; Edgar G. Morquecho; Fabian Astudillo-Salinas; Julio C. Lopez; Wilfredo C. Flores

doi:10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms

Nelson E. Matute
, Santiago P. Torres
, Edgar G. Morquecho
, Fabian Astudillo-Salinas
, Julio C. Lopez
, Wilfredo C. Flores

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Editorial	IEEE Computer Society
Páginas	494-498
Número de páginas	5
ISBN (versión digital)	9781728171005
DOI	https://doi.org/10.1109/ISGT-Europe47291.2020.9248778
Estado	Publicada - 26 oct. 2020
Evento	10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Delft, Países Bajos Duración: 26 oct. 2020 → 28 oct. 2020

Serie de la publicación

Nombre	IEEE PES Innovative Smart Grid Technologies Conference Europe
Volumen	2020-October

Conferencia

Conferencia	10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
País/Territorio	Países Bajos
Ciudad	Delft
Período	26/10/20 → 28/10/20

Acceder al documento

10.1109/ISGT-Europe47291.2020.9248778

Otros archivos y enlaces

Enlace a la publicación en Scopus

Uso Del Modelo De Corriente Alterna Para La Planificación Integrada Multi-Etapa De La Expansión De Líneas De Transmisión/Subtransmisión Y Fuentes De Potencia Reactiva En Sistemas De Energía Eléctrica
Torres Contreras, S. P. (Director), Astudillo Salinas, D. F. (Co-Director), Lopez Quizhpi, J. C. (Investigador Invitado), Ordoñez Giron, J. F. (Investigador Asociado), Matute Alvarado, N. E. (Personal Tecnico Asimilado) & Morquecho Salto, E. G. (Personal Tecnico Asimilado)
9/09/19 → 8/09/21
Proyecto: Investigación

Citar esto

Matute, N. E., Torres, S. P., Morquecho, E. G., Astudillo-Salinas, F., Lopez, J. C., & Flores, W. C. (2020). Improving the AC transmission expansion planning by using initial solutions algorithms. En Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 (pp. 494-498). Artículo 9248778 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/ISGT-Europe47291.2020.9248778

@inproceedings{32ee3f5b31ad40049c266cbe0fd0c296,

title = "Improving the AC transmission expansion planning by using initial solutions algorithms",

abstract = "Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.",

keywords = "AC model, Electric power systems, Initial solutions, Least-effort criterion, Transmission expansion planning",

author = "Matute, \{Nelson E.\} and Torres, \{Santiago P.\} and Morquecho, \{Edgar G.\} and Fabian Astudillo-Salinas and Lopez, \{Julio C.\} and Flores, \{Wilfredo C.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

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doi = "10.1109/ISGT-Europe47291.2020.9248778",

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Matute, NE, Torres, SP, Morquecho, EG, Astudillo-Salinas, F, Lopez, JC & Flores, WC 2020, Improving the AC transmission expansion planning by using initial solutions algorithms. En Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020., 9248778, IEEE PES Innovative Smart Grid Technologies Conference Europe, vol. 2020-October, IEEE Computer Society, pp. 494-498, 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020, Delft, Países Bajos, 26/10/20. https://doi.org/10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms. / Matute, Nelson E.; Torres, Santiago P.; Morquecho, Edgar G. et al.
Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE Computer Society, 2020. p. 494-498 9248778 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Flores, Wilfredo C.

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N2 - Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

AB - Initial Solutions (IS) are decisive in meta-heuristics based optimization problems since they impact the performance of the optimization process. This research work proposes and compares some random and deterministic algorithms to create initial solutions based on existing expansion planning criteria to solve the AC Transmission Expansion Planning (TEP) problem. The TEP is formulated as a full non-convex optimization problem using the AC network representation. A local version of the Particle Swarm Optimization (LPSO) technique is employed to solve the TEP problem. The Garver 6-bus and IEEE 24-bus test systems are used to evaluate the IS algorithms performance. It is shown that these algorithms have great potential to improve the robustness and computational effort of meta-heuristics.

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KW - Least-effort criterion

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Matute NE, Torres SP, Morquecho EG, Astudillo-Salinas F, Lopez JC, Flores WC. Improving the AC transmission expansion planning by using initial solutions algorithms. En Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE Computer Society. 2020. p. 494-498. 9248778. (IEEE PES Innovative Smart Grid Technologies Conference Europe). doi: 10.1109/ISGT-Europe47291.2020.9248778

Improving the AC transmission expansion planning by using initial solutions algorithms

Resumen

Serie de la publicación

Conferencia

Acceder al documento

Otros archivos y enlaces

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Proyectos

Uso Del Modelo De Corriente Alterna Para La Planificación Integrada Multi-Etapa De La Expansión De Líneas De Transmisión/Subtransmisión Y Fuentes De Potencia Reactiva En Sistemas De Energía Eléctrica

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