论文标题
使用本地QoS的灵活负载的预测资源分配
Predictive resource allocation for flexible loads with local QoS
论文作者
论文摘要
可以在不违反其服务质量（QoS）（即灵活的负载）的情况下改变其功耗的负载是网格运营商的宝贵资源。利用灵活的负载作为资源需要网格操作员将其纳入资源分配问题。由于灵活的负载通常是消费者，因此，由于隐私的担忧，因此希望此问题具有分布式实施。从技术上讲，该分布式实现将自身表现为每种负载QoS限制的时间变化的凸优化问题。在文献中，经常考虑这个问题的时间不变形式，没有所有必要的QoS指标。由于问题变化的性质，转到更现实的设置会引入其他技术挑战。在这项工作中，我们开发了一种算法，以考虑使用适当的QoS指标的时间变化的时间时引入的挑战。
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.
