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首页> 外文会议>IEEE PES Innovative Smart Grid Technologies Conference Europe >Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption
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Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption

机译：利用分布式计算云的地理灵活性来实现协作式自消费

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Smart grids allow to efficiently perform demand-side management in electrical grids in order to increase the integration of fluctuating and/or intermittent renewable energy sources in the energy mix. In this paper, we consider a distributed computing cloud partially powered by photovoltaic panels as a self-consumer that can also benefit from geographical flexibility: the computing load can be moved from one data center to another one benefiting from better solar irradiance conditions. The various data centers composing the cloud can then cooperate to better synchronise their consumption with their photovoltaic production. The simulation-based results show that our approach can significantly increase the self-consumption of renewable energy and improve the state-of-the-art management techniques for energy-efficient distributed clouds.
机译：智能电网允许在电网中有效执行需求侧管理，以增加波动和/或间歇性可再生能源在能源结构中的集成。在本文中，我们将由光伏板部分供电的分布式计算云视为自耗用户，它还可以从地理灵活性中受益：得益于更好的太阳辐照条件，计算负载可以从一个数据中心转移到另一个数据中心。然后，组成云的各种数据中心可以合作，以更好地将其消耗与光伏生产同步。基于仿真的结果表明，我们的方法可以显着提高可再生能源的自耗，并改善节能分布式云的最新管理技术。

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