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Peer-to-peer aggregation for dynamic adjustments in power demand - Springer

机译:点对点聚合可动态调整电力需求-Springer

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Energy demand-side management becomes a well-established approach in the Smart Power Grid. Aggregation of consumption information is a critical operation performed by most demand-side energy management mechanisms as it provides information about the required adjustment of power demand. However, a centralized demand-side energy management approach controlled exclusively by utility companies is not always scalable, robust and aligned to the privacy requirements of consumers. A large amount of end-user consumption information is aggregated continuously in centralized approaches. This paper introduces an alternative demand-side energy management scheme: ALMA, the Adaptive Load Management by Aggregation. In ALMA, consumers adjust their demand by selecting between different incentivized demand-options based on aggregate consumption information provided by peer-to-peer aggregation mechanisms. The feasibility of dynamic adjustment in power demand is evaluated and confirmed analytically using data from the current reality and practice of Smart Power Grids.
机译:能源需求侧管理已成为智能电网中公认的方法。消耗信息的汇总是大多数需求方能源管理机制执行的关键操作,因为它提供有关所需的电力需求调整的信息。但是,仅由公用事业公司控制的集中式需求侧能源管理方法并不总是可扩展,强大且符合消费者的隐私要求。大量的最终用户消费信息以集中的方式不断聚合。本文介绍了一种替代性的需求侧能源管理方案:ALMA,通过聚合进行的自适应负荷管理。在ALMA中,消费者通过基于对等聚合机制提供的聚合消费信息,在不同的激励需求选项之间进行选择,从而调整需求。使用来自智能电网当前现状和实践的数据评估和分析确定了动态调整电力需求的可行性。

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