Abstract
Aiming at the optimization of energy management for energy storage trams, an improved PSO algorithm based on classical PSO algorithm is proposed in this paper. On the premise of determining the operation strategy and operating conditions, the dynamic analysis of tramcar is carried out, the energy-saving model of tramcar is established, its objective function and constraints are analyzed, the model is solved by improved PSO algorithm, and the simulation results are compared with the actual energy consumption. The results show that the PSO algorithm of competition mechanism can improve the convergence of the algorithm, effectively find the turning point of the energy-saving model, reduce the energy consumption of tramcar operation, and improve the safety, precision parking, and comfort of operation.
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Acknowledgements
This work is supported by National Key R&D Program of China (2017YFB1201004).
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Yang, B., Zhang, J., Zhang, Y., Xing, Z. (2020). Application of Improved PSO Algorithms in Train Energy Consumption Optimization. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_12
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DOI: https://doi.org/10.1007/978-981-15-2862-0_12
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