Abstract
A multi-energy drive system (MEDS) uses a variety of power sources for energy supply, which has the advantages of flexible configuration, economic and environmental protection, and has been widely concerned and applied in rail transit. Energy management strategy is an important factor in the design of multi-energy drive system. A good energy management strategy is the guarantee to optimize the energy distribution of each power source in the system, improve the system efficiency, and reduce energy consumption and emissions. In this paper, the dynamic programming algorithm is used to optimize the diesel fuel consumption based on the known demand power curve. Compared with the rule-based algorithm before improvement, the diesel consumption is reduced by 7.7% in 785 s simulation period, which shows that the optimization effect is better.
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Li, X., Pei, H., Han, W., Diao, L. (2022). An Energy Management Strategy for Multi-energy Drive Systems Based on Dynamic Programming. In: Jia, L., Qin, Y., Liang, J., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. EITRT 2021. Lecture Notes in Electrical Engineering, vol 864. Springer, Singapore. https://doi.org/10.1007/978-981-16-9905-4_40
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DOI: https://doi.org/10.1007/978-981-16-9905-4_40
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