AC transmission expansion planning considering uncertainty

Sanchez Cueva, Richard Mauricio; Castro, Carlos Alberto; Torres Contreras, Santiago Patricio; Villacres Enriquez, Luis Ricardo

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Título :	AC transmission expansion planning considering uncertainty
Autor:	Sanchez Cueva, Richard Mauricio Castro, Carlos Alberto Torres Contreras, Santiago Patricio Villacres Enriquez, Luis Ricardo
Palabras clave :	AC model Simheuristic Transmission Expansion Planning AC Model Uncertainty Uncertainty Transmission Expansion Planning Simheuristic Montecarlo Montecarlo
Área de conocimiento FRASCATI amplio:	2. Ingeniería y Tecnología
Área de conocimiento FRASCATI detallado:	2.2.1 Ingeniería Eléctrica y Electrónica
Área de conocimiento FRASCATI específico:	2.2 Ingenierias Eléctrica, Electrónica e Información
Área de conocimiento UNESCO amplio:	07 - Ingeniería, Industria y Construcción
ÁArea de conocimiento UNESCO detallado:	0713 - Electricidad y Energia
Área de conocimiento UNESCO específico:	071 - Ingeniería y Profesiones Afines
Fecha de publicación :	2019
Fecha de fin de embargo:	14-may-2050
Volumen:	Volumen 0
Fuente:	Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019
metadata.dc.identifier.doi:	10.1109/ISGTEurope.2019.8905689
Editor:	Institute of Electrical and Electronics Engineers Inc.
Ciudad:	Bucharest
Tipo:	ARTÍCULO DE CONFERENCIA
Abstract:	© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.
Resumen :	© 2019 IEEE. Taking into account uncertainty into the Transmission Expansion Planning (TEP) problem is an important and complex issue. So far, the literature has proposed only simplified models in order to solve this problem. In this research work, a formulation and solution method to solve the Transmission System Expansion Planning problem considering uncertainty and using the AC network model is proposed. A simheuristic technique that combines simulation with an Ant Colony Optimization algorithm is used. The Montecarlo Simulation (MS) technique to handle the stochastic behavior of demand and generation, and the Ant Colony Optimization algorithm for continuous domains (ACOR) to find the optimal solution of the problem were employed. The results were obtained for different test scenarios on the Garver 6-bus and the IEEE 24-bus test systems.
URI :	http://dspace.ucuenca.edu.ec/handle/123456789/34307 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85075895453&origin=inward
URI Fuente:	https://ieeexplore.ieee.org/document/8905614
ISBN :	9781538682180
ISSN :	000-000-000-0
Aparece en las colecciones:	Artículos

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