Optimal siting and sizing of wayside energy storage systems in a D.C. railway line
| Autor: | Laura Palagi, Alessandro Ruvio, Nicola Mortelliti, Regina Lamedica |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Control and Optimization
Computer science 020209 energy particle swarm optimization (PSO) algorithm Energy Engineering and Power Technology energy storage system (ESS) net present value (NPV) optimization railway network regenerative braking siting sizing 02 engineering and technology lcsh:Technology Energy storage Software 0202 electrical engineering electronic engineering information engineering Point (geometry) Electrical and Electronic Engineering Engineering (miscellaneous) Present value lcsh:T Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Sizing Reliability engineering Regenerative brake Train business Energy (signal processing) Energy (miscellaneous) |
| Zdroj: | Energies; Volume 13; Issue 23; Pages: 6271 Energies, Vol 13, Iss 6271, p 6271 (2020) |
| Popis: | The paper proposes an optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines. The scope is to maximize the economic benefits. The problem of the optimal siting and sizing of an ESS is addressed and solved by a software developed by the authors using the particle swarm algorithm, whose objective function is based on the net present value (NPV). The railway line, using a standard working day timetable, has been simulated in order to estimate the power flow between the trains finding the siting and sizing of electrical substations and storage systems suitable for the railway network. Numerical simulations have been performed to test the methodology by assuming a new-generation of high-performance trains on a 3 kV direct current (d.c.) railway line. The solution found represents the best choice from an economic point of view and which allows less energy to be taken from the primary network. |
| Databáze: | OpenAIRE |
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