Transmission expansion planning considering multiple generation scenarios and demand uncertainty

This paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to multiple power flow patterns, as a result of the competitive environment in power systems. In this work, the diffe...

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Autores principales: Correa,Carlos Adrián, Bolaños,Ricardo, Escobar,Antonio
Lenguaje:English
Publicado: Universidad de Tarapacá. 2014
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052014000200004
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spelling oai:scielo:S0718-330520140002000042014-09-02Transmission expansion planning considering multiple generation scenarios and demand uncertaintyCorrea,Carlos AdriánBolaños,RicardoEscobar,Antonio Transmission planning generation scenarios uncertainty optimization interior point This paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to multiple power flow patterns, as a result of the competitive environment in power systems. In this work, the different flow patterns are taken into account, in order to avoid future congestion of the transmission network and thus avoiding future load shedding. The solution to this problem is obtained by a specialized Chu-Beasley Genetic Algorithm (CBGA) which includes a new initialization strategy using non-linear interior point. A diversification stage is also included to spread the solutions in the search space and increase convergence capability. Generation and demand uncertainty are also considered in the mathematical model by allowing variations within a given range. This formulation allows for an important decrease in the cost of the expansion plans when compared to the traditional models with fixed generation and demand. Expansion plans for the 6-bus Garver system and the IEEE-24 bus system are found with this methodology, obtaining zero load shedding under any future generation scenario.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.22 n.2 20142014-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052014000200004en10.4067/S0718-33052014000200004
institution Scielo Chile
collection Scielo Chile
language English
topic Transmission planning
generation scenarios
uncertainty
optimization
interior point
spellingShingle Transmission planning
generation scenarios
uncertainty
optimization
interior point
Correa,Carlos Adrián
Bolaños,Ricardo
Escobar,Antonio
Transmission expansion planning considering multiple generation scenarios and demand uncertainty
description This paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to multiple power flow patterns, as a result of the competitive environment in power systems. In this work, the different flow patterns are taken into account, in order to avoid future congestion of the transmission network and thus avoiding future load shedding. The solution to this problem is obtained by a specialized Chu-Beasley Genetic Algorithm (CBGA) which includes a new initialization strategy using non-linear interior point. A diversification stage is also included to spread the solutions in the search space and increase convergence capability. Generation and demand uncertainty are also considered in the mathematical model by allowing variations within a given range. This formulation allows for an important decrease in the cost of the expansion plans when compared to the traditional models with fixed generation and demand. Expansion plans for the 6-bus Garver system and the IEEE-24 bus system are found with this methodology, obtaining zero load shedding under any future generation scenario.
author Correa,Carlos Adrián
Bolaños,Ricardo
Escobar,Antonio
author_facet Correa,Carlos Adrián
Bolaños,Ricardo
Escobar,Antonio
author_sort Correa,Carlos Adrián
title Transmission expansion planning considering multiple generation scenarios and demand uncertainty
title_short Transmission expansion planning considering multiple generation scenarios and demand uncertainty
title_full Transmission expansion planning considering multiple generation scenarios and demand uncertainty
title_fullStr Transmission expansion planning considering multiple generation scenarios and demand uncertainty
title_full_unstemmed Transmission expansion planning considering multiple generation scenarios and demand uncertainty
title_sort transmission expansion planning considering multiple generation scenarios and demand uncertainty
publisher Universidad de Tarapacá.
publishDate 2014
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052014000200004
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