Abstract
In the urban rail traction power supply system, the load power fluctuates greatly, and the regenerated braking energy waste is serious. The fluctuation of load power can be stabilized effectively, and the utilization ratio of renewable energy can be improved when the energy storage system is applied in traction substation. Firstly, based on the load characteristics of traction substation, the minimum operation cost of energy storage investment is taken as the optimization objective, and a hybrid optimization method of traction substation based on ant colony optimization algorithm is proposed. Then, a hybrid energy storage real-time scheduling strategy based on wavelet packet decomposition algorithm is proposed, which can correct the wavelet packet decomposition results according to the real-time SOC state of the storage battery and super capacitor. Finally, the correctness and effectiveness are verified through the simulation results based on the measured data of a traction substation.
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Ma, W., Wang, W., Hu, R. (2018). Optimization and Scheduling Strategy of Energy Storage in Urban Rail Traction Power Supply System. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_62
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DOI: https://doi.org/10.1007/978-981-10-7986-3_62
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