Research on Multi-Objective Optimization Method for Energy-Saving Operation of Subway Trains

This study delves into the energy consumption issues of subway systems, analyzing the energy consumption composition and influencing factors of subway trains from multiple perspectives. It proposes a comprehensive energy-saving strategy system based on modern control theory and data-driven methods. The key aspects of the research include: (1) constructing an energy consumption analysis model for subway trains to quantitatively assess various influencing factors; (2) innovatively integrating statistical algorithms with signal system optimization; (3) developing data-driven train operation control strategies. Through theoretical analysis and practical case studies, the proposed energy-saving solution has achieved a 16.7% reduction in overall energy consumption on a specific subway line, saving approximately 40 million yuan in annual electricity costs. The findings provide significant technical references for the green and low-carbon development of urban rail transit.