| Title: |
Genetic Algorithm-Based Optimization for Sizing Tramway Electrical Infrastructures. Application to a Real Study Case |
| Authors: |
Bigeon, Jean; Ossart, Florence; Boukir, Anass; Reinbold, Vincent; Levy, Paul-Louis |
| Contributors: |
Laboratoire des Sciences du Numérique de Nantes (LS2N); Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique); Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-NANTES UNIVERSITÉ - École Centrale de Nantes (Nantes Univ - ECN); Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST); Nantes Université - pôle Sciences et technologie; Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie; Nantes Université (Nantes Univ); Laboratoire Génie électrique et électronique de Paris (GeePs); CentraleSupélec-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS); Artelia; Contrat ste Artelia |
| Source: |
Electrimacs 2024 ; https://hal.science/hal-04684121 ; Electrimacs 2024, May 2024, Castello de la plana, Spain |
| Publisher Information: |
CCSD |
| Publication Year: |
2024 |
| Subject Terms: |
Railway Applications; Electrical Engineering; Optimization Algorithm; Genetic Algorithm; [SPI]Engineering Sciences [physics]; [MATH]Mathematics [math] |
| Subject Geographic: |
Castello de la plana; Spain |
| Description: |
International audience ; Abstract: This paper focuses on the efficient sizing of tramway electrical infrastructures, involving the determination of optimal specifications for electrical substations, overhead transmission lines, feeders, and equipotential bonding. Sizing aims to establish the number, positions, and technical characteristics for each component, balancing considerations of investment costs, energy efficiency, and power supply quality. Departing from conventional trial-and-error methods, our approach formulates a bi-objective optimization problem and employs the NSGA-II algorithm, incorporating expert knowledge strategically within crossover and mutation operators. Applying this new sizing method to a real case shows significant efficiency improvements, offering a systematic solution to the technical and financial challenges tied to creating new tramway lines or extending existing lines. The results highlight the potential for substantial improvements in efficiency and economic outcomes. This innovative approach positions itself as a valuable tool in the changing landscape of urban public transport electrification projects, providing an optimized solution to the challenges of designing and implementing tramway electrical infrastructures. |
| Document Type: |
conference object |
| Language: |
English |
| Availability: |
https://hal.science/hal-04684121 |
| Accession Number: |
edsbas.20A3C5B9 |
| Database: |
BASE |