Multiobjective Transmission Expansion Planning considering Multiple Generation Scenarios

Carlos Adrian Correa, Ricardo Bolanos, Antonio H. Escobar Zuluaga

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper shows a methodology for solving the Transmission Expansion Planning (TEP) problem when Multiple Generation Scenarios (MGS) are considered. MGS are a result of the market based environment introduced by electricity deregulation. The solution to this problem is carried out by using multiobjective evolutionary strategies for the optimization process, implementing a new hybrid modified NSGA-II/Chu-Beasley algorithm. The proposed methodology is validated using the 6-bus Garver system and the IEEE-24 bus system. The TEP is based on the DC model of the network and non-linear interior point method is used to initialize the population. A set of Pareto optimal expansion plans with different levels of cost and load shedding is found for each system, showing the robustness of the proposed approach.

Idioma originalInglés
Título de la publicación alojada2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings
EditoresPaola Beltran, Andres Aldana
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479962501
DOI
EstadoPublicada - 10 nov. 2014
Publicado de forma externa
Evento2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014 - Medellin, Colombia
Duración: 10 sep. 201413 sep. 2014

Serie de la publicación

Nombre2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings
Volumen2014-October

Conferencia

Conferencia2014 IEEE PES Transmission and Distribution Conference and Exposition - Latin America, PES T and D-LA 2014
País/TerritorioColombia
CiudadMedellin
Período10/09/1413/09/14

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