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Communication Dans Un Congrès Année : 2024

Genetic Algorithm-Based Optimization for Sizing Tramway Electrical Infrastructures. Application to a Real Study Case

Résumé

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.
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Dates et versions

hal-04684121 , version 1 (02-09-2024)

Identifiants

  • HAL Id : hal-04684121 , version 1

Citer

Jean Bigeon, Florence Ossart, Anass Boukir, Vincent Reinbold, Paul-Louis Levy. Genetic Algorithm-Based Optimization for Sizing Tramway Electrical Infrastructures. Application to a Real Study Case. Electrimacs 2024, May 2024, Castello de la plana, Spain. ⟨hal-04684121⟩
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