Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching

Joel Pineda; Diego Carrión; Manuel Jaramillo

doi:10.1007/978-3-031-87065-1_35

Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching

Grupo de Investigación en Redes Eléctricas Inteligentes (GIREI)

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

Resumen

The present research aims to analyze the transient stability after optimal transmission switching (OTS), which accommodates the optimal DC power flows, leading to OTSDC, which facilitates the optimal transmission switching without affecting the load, considering both the optimal power dispatch while complying with the technical and operational constraints established by the system. This was performed for three scenarios when one, two, and three switched transmission lines. All this was an optimization case solved using mixed integer linear programming (MILP) through GAMS and MATLAB optimization software for modeling and data processing. The IEEE standard models of 14 was used to analyze the transient stability of the generation busbars under adverse scenarios. In addition, dynamic programming allowed accurate results to be obtained quickly, taking advantage of the computational advantages available.

Idioma original	Inglés
Título de la publicación alojada	Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024
Editores	Esteban Mauricio Inga Ortega, Vladimir Espartaco Robles-Bykbaev, Nuria García Herranz, Eduardo Gallego Diaz
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	384-394
Número de páginas	11
ISBN (versión impresa)	9783031870644
DOI	https://doi.org/10.1007/978-3-031-87065-1_35
Estado	Publicada - 2025
Evento	10th International Conference on Science, Technology and Innovation for Society, CITIS 2024 - Guayaquil, Ecuador Duración: 18 jul. 2024 → 19 jul. 2024

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	1331 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	10th International Conference on Science, Technology and Innovation for Society, CITIS 2024
País/Territorio	Ecuador
Ciudad	Guayaquil
Período	18/07/24 → 19/07/24

Nota bibliográfica

Publisher Copyright:
© The Author(s) 2025.

Areas de Conocimiento del CACES

317A Electricidad y energía

Acceder al documento

10.1007/978-3-031-87065-1_35

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Pineda, J., Carrión, D., & Jaramillo, M. (2025). Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching. En E. M. Inga Ortega, V. E. Robles-Bykbaev, N. García Herranz, & E. Gallego Diaz (Eds.), Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024 (pp. 384-394). (Lecture Notes in Networks and Systems; Vol. 1331 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-87065-1_35

Pineda, Joel ; Carrión, Diego ; Jaramillo, Manuel. / Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching. Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024. editor / Esteban Mauricio Inga Ortega ; Vladimir Espartaco Robles-Bykbaev ; Nuria García Herranz ; Eduardo Gallego Diaz. Springer Science and Business Media Deutschland GmbH, 2025. pp. 384-394 (Lecture Notes in Networks and Systems).

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abstract = "The present research aims to analyze the transient stability after optimal transmission switching (OTS), which accommodates the optimal DC power flows, leading to OTSDC, which facilitates the optimal transmission switching without affecting the load, considering both the optimal power dispatch while complying with the technical and operational constraints established by the system. This was performed for three scenarios when one, two, and three switched transmission lines. All this was an optimization case solved using mixed integer linear programming (MILP) through GAMS and MATLAB optimization software for modeling and data processing. The IEEE standard models of 14 was used to analyze the transient stability of the generation busbars under adverse scenarios. In addition, dynamic programming allowed accurate results to be obtained quickly, taking advantage of the computational advantages available.",

keywords = "Dynamic Programming, Mixed Integer Linear Programming, Optimal Power Flows, Optimal Transmission Switching, Transient Stability",

author = "Joel Pineda and Diego Carri{\'o}n and Manuel Jaramillo",

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Pineda, J, Carrión, D & Jaramillo, M 2025, Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching. En EM Inga Ortega, VE Robles-Bykbaev, N García Herranz & E Gallego Diaz (eds.), Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024. Lecture Notes in Networks and Systems, vol. 1331 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 384-394, 10th International Conference on Science, Technology and Innovation for Society, CITIS 2024, Guayaquil, Ecuador, 18/07/24. https://doi.org/10.1007/978-3-031-87065-1_35

Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching. / Pineda, Joel; Carrión, Diego ; Jaramillo, Manuel.
Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024. ed. / Esteban Mauricio Inga Ortega; Vladimir Espartaco Robles-Bykbaev; Nuria García Herranz; Eduardo Gallego Diaz. Springer Science and Business Media Deutschland GmbH, 2025. p. 384-394 (Lecture Notes in Networks and Systems; Vol. 1331 LNNS).

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

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T1 - Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching

AU - Pineda, Joel

AU - Carrión, Diego

AU - Jaramillo, Manuel

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PY - 2025

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N2 - The present research aims to analyze the transient stability after optimal transmission switching (OTS), which accommodates the optimal DC power flows, leading to OTSDC, which facilitates the optimal transmission switching without affecting the load, considering both the optimal power dispatch while complying with the technical and operational constraints established by the system. This was performed for three scenarios when one, two, and three switched transmission lines. All this was an optimization case solved using mixed integer linear programming (MILP) through GAMS and MATLAB optimization software for modeling and data processing. The IEEE standard models of 14 was used to analyze the transient stability of the generation busbars under adverse scenarios. In addition, dynamic programming allowed accurate results to be obtained quickly, taking advantage of the computational advantages available.

AB - The present research aims to analyze the transient stability after optimal transmission switching (OTS), which accommodates the optimal DC power flows, leading to OTSDC, which facilitates the optimal transmission switching without affecting the load, considering both the optimal power dispatch while complying with the technical and operational constraints established by the system. This was performed for three scenarios when one, two, and three switched transmission lines. All this was an optimization case solved using mixed integer linear programming (MILP) through GAMS and MATLAB optimization software for modeling and data processing. The IEEE standard models of 14 was used to analyze the transient stability of the generation busbars under adverse scenarios. In addition, dynamic programming allowed accurate results to be obtained quickly, taking advantage of the computational advantages available.

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Pineda J, Carrión D , Jaramillo M. Dynamic Analysis of Transient Stability in Power Systems After Optimal Transmission Switching. En Inga Ortega EM, Robles-Bykbaev VE, García Herranz N, Gallego Diaz E, editores, Systems, Smart Technologies, and Innovation for Society - Proceedings of CITIS 2024. Springer Science and Business Media Deutschland GmbH. 2025. p. 384-394. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-87065-1_35