可再生能源
储能
汽车工程
风力发电
抽蓄发电
工程类
间歇式能源
再生制动器
电力系统
计算机科学
电气工程
功率(物理)
分布式发电
量子力学
物理
制动器
作者
José A. Aguado,Antonio Jose Sanchez Racero,S. de la Torre
标识
DOI:10.1109/tsg.2016.2574200
摘要
This paper proposes a methodology for optimal operation of railway electric energy systems considering renewable energy sources (PV panels and wind turbines), regenerative braking capabilities and hybrid electric energy storage systems (ultracapacitors and batteries). The uncertainties associated to renewable energies are taken into account through a scenario tree approach. All these elements are integrated into a multi-period AC optimal power flow problem. This problem is then cast as a large-scale nonlinear optimization problem. The aim is to study the potential for energy and economic savings of the railway operation as well as energy storage systems behavior. A real case study is analyzed for a Spanish high-speed railway line. Results are reported for several cases comparing four different operation modes.
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