Research and Implementation of Intelligent Control Algorithm for Metro Trains Energy-saving Operation under Complex Operating Conditions

• Published in: 2024 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA) pp. 160 - 165
• Main Authors: Zhou, Jixu, Zheng, Anping, Ma, Zhe, Li, Ming, Zhang, Lijun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.08.2024
• Subjects: Analytical models; Complex operating conditions; Deep learning; DLA; Electrical engineering; energy conservation; Energy consumption; Heuristic algorithms; Intelligent control; Intelligent systems; Matrix decomposition; metro systems; optimized operation; Public transportation; Time factors

Taking the complex routes of actual metro operations as the research subject, the specific operational patterns of trains to construct an energy-saving optimized control model for train operations was analyzed. The aim is to optimize the train's operational speed profile and achieve energy-savi...