Increased uptake of variable renewable generation and further electrification of energy demand necessitate efficient coordination of flexible demand resources to make most efficient use of power system assets. Flexible electrical loads are typically small, numerous, heterogeneous and owned by self-interested agents. Considering the multi-temporal nature of flexibility and the uncertainty involved, scheduling them is a complex task. This paper proposes a forecast-mediated real-time market-based control approach (F-MBC) for cost minimizing coordination of uninterruptible time-shiftable (i.e. deferrable) loads. F-MBC is scalable, privacy preserving, and usable by device agents with small computational power. Moreover, F-MBC is proven to overcome the challenge of mutually conflicting decisions from equivalent devices. Simulations in a simplified but challenging case study show that F-MBC produces near-optimal behaviour over multiple time-steps.

中文翻译：

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可延迟负载的分布式协调：具有自我实现预测的实时市场

可变可再生能源发电的增加和能源需求的进一步电气化需要有效协调灵活的需求资源，以最有效地利用电力系统资产。灵活的电力负载通常很小、数量众多、异构且由自私自利的代理拥有。考虑到灵活性的多时间性质和所涉及的不确定性，安排它们是一项复杂的任务。本文提出了一种以预测为中介的实时基于市场的控制方法 (F-MBC)，用于最大限度地降低不间断时移（即可延迟）负载的协调成本。F-MBC 是可扩展的、隐私保护的，并且可由具有较小计算能力的设备代理使用。此外，F-MBC 已被证明可以克服来自等效设备的相互冲突决策的挑战。