Loads that can vary their power consumption without violating their Quality of service (QoS), that is flexible loads, are an invaluable resource for grid operators. Utilizing flexible loads as a resource requires the grid operator to incorporate them into a resource allocation problem. Since flexible loads are often consumers, for concerns of privacy it is desirable for this problem to have a distributed implementation. Technically, this distributed implementation manifests itself as a time varying convex optimization problem constrained by the QoS of each load. In the literature, a time invariant form of this problem without all of the necessary QoS metrics for the flexible loads is often considered. Moving to a more realistic setup introduces additional technical challenges, due to the problems' time-varying nature. In this work, we develop an algorithm to account for the challenges introduced when considering a time varying setup with appropriate QoS metrics.

中文翻译：

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具有本地 QoS 的灵活负载的预测性资源分配

可以在不违反服务质量 (QoS) 的情况下改变其功耗的负载，即灵活负载，是电网运营商的宝贵资源。将灵活负载用作资源需要电网运营商将其纳入资源分配问题中。由于灵活负载通常是消费者，出于隐私的考虑，希望这个问题具有分布式实现。从技术上讲，这种分布式实现本身表现为受每个负载的 QoS 约束的时变凸优化问题。在文献中，经常考虑这个问题的时间不变形式，没有灵活负载所需的所有 QoS 度量。由于问题的时变性质，转向更现实的设置会带来额外的技术挑战。在这项工作中，