Topological optimization of offshore wind farm cable routing system based on an improved equilibrium optimization algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256318" target="_blank" >RIV/61989100:27240/24:10256318 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0029801824028774?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0029801824028774?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.oceaneng.2024.119539" target="_blank" >10.1016/j.oceaneng.2024.119539</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Topological optimization of offshore wind farm cable routing system based on an improved equilibrium optimization algorithm

Popis výsledku v původním jazyce

The investment cost of submarine cables is vital in an offshore wind farm, making the optimization of electrical infrastructure highly significant. An improved equilibrium optimization algorithm (IEOA) is presented to address it in this paper. This algorithm integrates the advantages of the equilibrium optimization algorithm (EOA) and particle swarm optimization (PSO) to enhance the topological structure of the cable layout. The EOA explores the search space, while the PSO utilizes its internal memory to focus on promising areas. This integration increases both diversification and intensification of the search. In the end, the proposed IEOA is validated on some test functions and applied to the cable layout optimization task. For the topological structure of the cable layout, the results show that the proposed IEOA saved the total cost by 2.94%,10.98%,7.56%, and 5.57% than the PSO, SCA, GWO, and EOA, respectively for the variable offshore substation (OS) location. And it decreased the overall cost by 4.15%,16.38%, 14.73%, and 6.59%, respectively for the fixed OS location. Therefore, IEOA is a promising and reliable method to optimize the topology design of cable layout connection system.

Název v anglickém jazyce

Topological optimization of offshore wind farm cable routing system based on an improved equilibrium optimization algorithm

Popis výsledku anglicky

The investment cost of submarine cables is vital in an offshore wind farm, making the optimization of electrical infrastructure highly significant. An improved equilibrium optimization algorithm (IEOA) is presented to address it in this paper. This algorithm integrates the advantages of the equilibrium optimization algorithm (EOA) and particle swarm optimization (PSO) to enhance the topological structure of the cable layout. The EOA explores the search space, while the PSO utilizes its internal memory to focus on promising areas. This integration increases both diversification and intensification of the search. In the end, the proposed IEOA is validated on some test functions and applied to the cable layout optimization task. For the topological structure of the cable layout, the results show that the proposed IEOA saved the total cost by 2.94%,10.98%,7.56%, and 5.57% than the PSO, SCA, GWO, and EOA, respectively for the variable offshore substation (OS) location. And it decreased the overall cost by 4.15%,16.38%, 14.73%, and 6.59%, respectively for the fixed OS location. Therefore, IEOA is a promising and reliable method to optimize the topology design of cable layout connection system.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ocean Engineering

ISSN

0029-8018

e-ISSN

1873-5258

Svazek periodika

313

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

20

Strana od-do

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Kód UT WoS článku

001339952200001

EID výsledku v databázi Scopus

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