Optimal Energy Efficiency in a Mass Rapid Transit System Through DC Traction Substation Voltage Control Utilizing Particle Swarm Optimization

This article discusses voltage level modifications in urban mass transit traction substations, focusing on DC railway substations, to reduce power consumption and improve energy efficiency. Substation voltage settings are usually adjusted by a skilled designer using practical judgment and design acumen. To maximize operations, all traction substation voltage levels are automatically adjusted to the same value. This arrangement works well and may not have affected the power supply system. This design often causes operations to deviate from optimal performance, perhaps reducing energy efficiency. This research seeks to determine the optimal traction substation voltage setting that minimizes total energy consumption of DC electric railways. A simulation‐based approach is applied using train movement data and voltage variation scenarios. The proposed designs are linear, V ‐shaped, and fixed‐voltage. Additionally, particle swarm optimization (PSO) is an effective way to find the best design. The Bangkok Transit System (BTS) Sukhumvit line is used for testing. Reduction by the linear framework, energy consumption may be 2.341% lower than the base case. By the PSO, the results in 30 trial test runs suggest a 6.107% energy consumption reduction from baseline.

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Publication Details

Journal
IET Electrical Systems in Transportation
Published
2025-01-01
DOI
https://doi.org/10.1049/els2/5531109
Primary Topic
Railway Systems and Energy Efficiency
Type
article
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article

Optimal Energy Efficiency in a Mass Rapid Transit System Through DC Traction Substation Voltage Control Utilizing Particle Swarm Optimization

Waiard Saikong, Thanatchai Kulworawanichpong, Chanchai Techawatcharapaikul, Chaiyut Sumpavakup et al.
IET Electrical Systems in Transportation
Railway Systems and Energy Efficiency
article

Optimal Energy Efficiency in a Mass Rapid Transit System Through DC Traction Substation Voltage Control Utilizing Particle Swarm Optimization

Waiard Saikong, Thanatchai Kulworawanichpong, Chanchai Techawatcharapaikul, Chaiyut Sumpavakup, Banri Khemkladmuk
article en

Abstract

This article discusses voltage level modifications in urban mass transit traction substations, focusing on DC railway substations, to reduce power consumption and improve energy efficiency. Substation voltage settings are usually adjusted by a skilled designer using practical judgment and design acumen. To maximize operations, all traction substation voltage levels are automatically adjusted to the same value. This arrangement works well and may not have affected the power supply system. This design often causes operations to deviate from optimal performance, perhaps reducing energy efficiency. This research seeks to determine the optimal traction substation voltage setting that minimizes total energy consumption of DC electric railways. A simulation‐based approach is applied using train movement data and voltage variation scenarios. The proposed designs are linear, V ‐shaped, and fixed‐voltage. Additionally, particle swarm optimization (PSO) is an effective way to find the best design. The Bangkok Transit System (BTS) Sukhumvit line is used for testing. Reduction by the linear framework, energy consumption may be 2.341% lower than the base case. By the PSO, the results in 30 trial test runs suggest a 6.107% energy consumption reduction from baseline.

IET Electrical Systems in TransportationVol. 2025(1)
Mahasarakham University (TH), King Mongkut's University of Technology Thonburi (TH), Suranaree University of Technology (TH), King Mongkut's University of Technology North Bangkok (TH)
Openalex Percentile: Top 63%
Railway Systems and Energy Efficiency
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Optimal Energy Efficiency in a Mass Rapid Transit System Through DC Traction Substation Voltage Control Utilizing Particle Swarm Optimization — Waiard Saikong, Thanatchai Kulworawanichpong, et al. · IET Electrical Systems in Transportation (2025) | TGRS Research Map | TGRS