Minimisation of Train Traction Energy Consumption under Cruising Speed and Coast Position Control with Genetic Algorithm

Abstract

Urban rail systems are facing increasing pressure to minimise their energy consumption and hence to reduce operational costs and environmental impact, while maintain acceptable service quality. However, the nature of such problem is nonlinear; therefore optimisation model of minimizing energy consumption with maximum cruising speed and optimal coasting position as decision variables, subject to speed limit range, travel time constraints, acceleration/braking rate, and commencing braking position constraints has been proposed. This model solved constraint optimisation with standard genetic algorithm (SGA) for real life problem. The train controls and decision variables have a significant impact on the overall traction energy consumption.