Multi-Objective Optimization to find the Location and Power Capacity of DC Traction Substations to supply the MRT System with Multi-Train

Tobing, Tahan Lumban and Rachmidha, Tri Desmana and Hindersah, Hilwadi and Suwarno, Suwarno (2023) Multi-Objective Optimization to find the Location and Power Capacity of DC Traction Substations to supply the MRT System with Multi-Train. International Journal on Electrical Engineering and Informatics, 15 (3). pp. 483-494. ISSN 2085 6830

[img] Text
MultiObjectiveOptimization.pdf

Download (1MB)
[img] Text (Hasil_Turnitin)
HasilTurnitinMultiObjectiveOptimization.pdf

Download (2MB)
Official URL: https://www.proquest.com/

Abstract

Findingtheoptimallocationandpower capacityoftractionsubstationsis a problem in the design of DC electric power supply systems for trains. The proposed method uses evolutionary multi-objective optimization (EMO) to find the solution.By using two optimization steps:firstly, findingtheParetooptimalsolutions with NSGA-ii method, and secondly,selecting fromthe Pareto optimalsolutions by using higher-level information to obtain the bestsolution. The method is used to optimize 15 kilometer (km) railway power supply systems with three or four traction substations.The load sharing between the traction substationsis almost the same as the minimum power capacity. Therefore, the single bestsolution is obtained,showing thattheminimumsolution requirementsforthe location and power capacity of the traction substations are met. Keyword: EMO Optimization, Pareto Optimal, Traction Substation, Peak Demand, Energy Needs.

Item Type: Article
Subjects: TECHNOLOGY
Depositing User: Mr. Admin Repository
Date Deposited: 27 Feb 2025 10:12
Last Modified: 27 Feb 2025 10:12
URI: http://repository.uki.ac.id/id/eprint/18439

Actions (login required)

View Item View Item