关键词：可再生能源；国家电网；数据中心；网格调度工作量；原型聚类
摘 要：Variable, intermittent renewable sources of energy are being introduced into the national electric grid at scale.However, the current grid paradigm of load-followingsupplies is unable to utilize these sources without impractical deployments of backup generation and gridscaleenergy storage. Thus, it will be crucial to have energy agile loads: electric loads that can dynamically adapt their energy consumption. Data centers are prime candidates for becoming energy agile because they are large energy consumers and often have workloads thatcan be shaped to vary their power consumption. In thispaper we present an energy agile cluster that is power proportional (uses power proportional to its workload)and exposes slack (the ability to temporarily delay ordegrade service to reduce power consumption). We describe a prototype cluster that consumes 60% less energyon typical workloads by being power proportional.Then, using month-long traces from a 9572 node computing cluster and a California wind farm, we show howa grid-aware scheduler can use workload slack to reducesdependence on non-renewable energy sources to 40% of its original level. Our results show that achieving the same wind penetration with energy storage alone wouldrequire sufficient battery capacity to run a cluster for fivehours.