Demand flexibility plays a pivotal role in modern power systems with high penetration of variable energy resources.
One of the most significant bottlenecks for the scalable deployment of such computation is its energy demand.
We perform our simulations using a synthetic 2000 bus ERCOT grid model, along with added cryptocurrency mining loads on top of the real-world demand profiles in Texas.
The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand.
In this paper, we exploit the structure of information in the prediction window to design a novel prediction-aware online algorithm for energy generation scheduling in microgrids.
It also conducts a preliminary study on using energy storage and load rationing to mitigate rotating blackout's adverse impact on the grid.