REGENERATIVE BRAKING ENERGY OPTIMIZATION ON ELECTRIC MULTIPLE UNITS ON THE JATINEGARA-BEKASI LINE WITH TIMETABLING BASED ON PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM

• Main Author: Ridlo Istriantono, Duli
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/83046
• Institution: Institut Teknologi Bandung

Energy consumption in rail transportation increases with fleet expansion and travel frequency. NZE2050 projections predict that more than 60% of motorized vehicles will switch to electric vehicles by 2030, with electric energy consumption accounting for nearly half of total energy consumption in 2050. The Jatinegara- Bekasi Electric Multiple Units (EMU) line, with its high travel frequency, has great potential to utilize regenerative braking energy, with traction energy consumption can reach 27 GWh per year. This research aims to optimize the utilization of regenerative braking energy on the Jatinegara-Bekasi EMU operational scheduling using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) algorithms. An energy consumption model based on EMU operational timetabling is developed and validated by comparing the results of energy consumption calculations against actual data. Furthermore, this model is used to optimize energy consumption with PSO and GA algorithms. Optimization is done with several schemes, considering dwelling and headway times. By including on-peak and off-peak times as decision-making variables, the optimization results show an increase in energy efficiency of 8.49%. In cases with high travel frequency, the headway time variable proved to have great potential in improving energy efficiency. The optimization results also showed a cost efficiency of Rp 1,109,123,014 per year. This research provides important insights into regenerative energy utilization and sustainable transportation strategies for EMU operations in Indonesia.