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Flexibility - enabling technologies using electric vehicles

机译:灵活性-使用电动汽车的支持技术

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摘要

Electric car usage has been growing rapidly over the past ten years, cars stock in 2018 exceeded 5 millions, +63% from 2019, Europe is accounting for 24% of the global fleet. The request of fast, rapid and ultra rapid charge is, on the other side, posing electric power network challenges. In this scenario the DSO is interested in exploiting EV charges in terms of flexibility that can be planned in optimized way, especially when it is combined with high penetration of RES. This paper provides evidence that EVs charging sessions, planned using a dedicated forecasting module, can contribute to balance the distribution power network; for this purpose suitable flexibility-enabling technologies developed under the H2020 project SOFIE have been used. Data analysis has pointed out that a proper program of charging sessions could significantly increase self-consumption index; moreover, an optimal scheduling has been validated taking into account realistic constraints for its actual implementation. Finally, the paper shows how the enabling technologies for flexibility exploitation have been implemented and validated; notably, a rescheduling of the charging sessions is allowed through the usage of forecasting techniques as well as the implementation of blockchain technologies for enabling a flexibility marketplace.
机译:过去十年中,电动汽车的使用量一直在快速增长,2018年的汽车存量超过500万辆,比2019年增长63%,欧洲占全球车队的24%。另一方面,对快速,快速和超快速充电的要求构成了对电网的挑战。在这种情况下,DSO有兴趣以可以优化方式规划的灵活性来利用EV费用,尤其是在与RES的高渗透率相结合的情况下。本文提供的证据表明,使用专用的预测模块计划的电动汽车充电会议可有助于平衡配电网络。为此,使用了在H2020项目SOFIE下开发的合适的灵活性支持技术。数据分析指出,适当的收费程序可以显着提高自我消费指数。此外,已经考虑到实际约束对其实际实施进行了验证,从而确定了最佳调度。最后,本文说明如何实施和验证用于灵活性开发的支持技术;值得注意的是,通过使用预测技术以及实施区块链技术以实现灵活的市场,可以对计费会话进行重新安排。

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