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• W2227574069 abstract "Nowadays distribution systems are becoming more and more complicated mainly due to the new methods of producing and storing electricity (PV, fuel cells, battery storage systems) as well as due to the new tensions of consuming electric energy (smart appliances, e-vehicles, e-bikes, etc.). Uncertainty in load, generation, and cost requires modeling power systems with a probabilistic approach. In such a way, the probabilistic nature of demand side management (DSM) problem can also be addressed. This work presents the design of an e-bike sharing system, in terms of system components and user mobility patterns. The integration of the designed system in the Low Voltage (LV) grid is simulated with a probabilistic analysis framework that uses real smart metering (SM) data. The stochastic character of the loading parameters at the network nodes is studied taking into account the charging energy needs of the proposed e-bikes sharing system. PV generation produced on the parking roof of the e-bikes smart charging stations (SCS) along with the energy stored in a local battery is also studied." @default.
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• W2227574069 date "2015-11-01" @default.
• W2227574069 modified "2023-09-25" @default.
• W2227574069 title "Implementation of an e-bike sharing system: The effect on low voltage network using pv and smart charging stations" @default.
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• W2227574069 doi "https://doi.org/10.1109/icrera.2015.7418478" @default.
• W2227574069 hasPublicationYear "2015" @default.
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