Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning

Transmission expansion planning is a complex problem that deals with the selection of new transmission lines that guarantee meeting future demand/generation and technical limits with the minimal investment cost. The transmission expansion planning problem has been solved through approaches and techn...

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Autores principales: Silvia M. L. Silva, Lucas Teles Faria, Ruben Romero, John F. Franco
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/895c087cd0bd4f28b4c7aa18df753804
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spelling oai:doaj.org-article:895c087cd0bd4f28b4c7aa18df7538042021-11-20T00:03:04ZEfficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning2169-353610.1109/ACCESS.2021.3127369https://doaj.org/article/895c087cd0bd4f28b4c7aa18df7538042021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611233/https://doaj.org/toc/2169-3536Transmission expansion planning is a complex problem that deals with the selection of new transmission lines that guarantee meeting future demand/generation and technical limits with the minimal investment cost. The transmission expansion planning problem has been solved through approaches and techniques aimed at reducing the computational effort required for its solution. Nevertheless, finding the optimal solution or even good-quality solutions for large-scale transmission systems is still challenging. In that context, an efficient multi-start with path relinking search strategy for the transmission expansion planning problem is proposed. The proposed strategy has two phases: constructive phase and local search. In the former, the multi-start applies a diversification process to guide the search along different regions to obtain good-quality solutions. Then, the local search phase executes an intensive search in the neighborhood of the best feasible solutions found in the constructive phase. The intensification process is performed in two steps: application of the Villasana-Garver-Salon algorithm in the best solutions after consecutive removal of transmission lines and path relinking using elite solution pairs. Tests performed using data from four systems show the efficiency of the proposed search strategy. Thus, the optimal solutions were obtained with a very low computational effort.Silvia M. L. SilvaLucas Teles FariaRuben RomeroJohn F. FrancoIEEEarticleMulti-start metaheuristic (MSM)path relinking (PR)power system optimizationtransmission expansion planning (TEP)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153213-153225 (2021)
institution DOAJ
collection DOAJ
language EN
topic Multi-start metaheuristic (MSM)
path relinking (PR)
power system optimization
transmission expansion planning (TEP)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Multi-start metaheuristic (MSM)
path relinking (PR)
power system optimization
transmission expansion planning (TEP)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Silvia M. L. Silva
Lucas Teles Faria
Ruben Romero
John F. Franco
Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
description Transmission expansion planning is a complex problem that deals with the selection of new transmission lines that guarantee meeting future demand/generation and technical limits with the minimal investment cost. The transmission expansion planning problem has been solved through approaches and techniques aimed at reducing the computational effort required for its solution. Nevertheless, finding the optimal solution or even good-quality solutions for large-scale transmission systems is still challenging. In that context, an efficient multi-start with path relinking search strategy for the transmission expansion planning problem is proposed. The proposed strategy has two phases: constructive phase and local search. In the former, the multi-start applies a diversification process to guide the search along different regions to obtain good-quality solutions. Then, the local search phase executes an intensive search in the neighborhood of the best feasible solutions found in the constructive phase. The intensification process is performed in two steps: application of the Villasana-Garver-Salon algorithm in the best solutions after consecutive removal of transmission lines and path relinking using elite solution pairs. Tests performed using data from four systems show the efficiency of the proposed search strategy. Thus, the optimal solutions were obtained with a very low computational effort.
format article
author Silvia M. L. Silva
Lucas Teles Faria
Ruben Romero
John F. Franco
author_facet Silvia M. L. Silva
Lucas Teles Faria
Ruben Romero
John F. Franco
author_sort Silvia M. L. Silva
title Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
title_short Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
title_full Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
title_fullStr Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
title_full_unstemmed Efficient Multi-Start With Path Relinking Search Strategy for Transmission System Expansion Planning
title_sort efficient multi-start with path relinking search strategy for transmission system expansion planning
publisher IEEE
publishDate 2021
url https://doaj.org/article/895c087cd0bd4f28b4c7aa18df753804
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AT lucastelesfaria efficientmultistartwithpathrelinkingsearchstrategyfortransmissionsystemexpansionplanning
AT rubenromero efficientmultistartwithpathrelinkingsearchstrategyfortransmissionsystemexpansionplanning
AT johnffranco efficientmultistartwithpathrelinkingsearchstrategyfortransmissionsystemexpansionplanning
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