5 papers
When Market Prices Drive the Load: Modeling, Grid-Security Analysis, and Mitigation of Data Center Workload Scheduling
Shijie Pan, Zaint A. Alexakis, Charalambos Konstantinou
Data centers (DCs) are emerging as large, geographically distributed, controllable loads whose participation in electricity markets can significantly affect grid operation, especia…
Market-Driven Flexibility Provision: A Tri-Level Optimization Approach for Carbon Reduction
Shijie Pan, Gerrit Rolofs, Luca Pontecorvi +1
The integration of renewable energy resources (RES) in the power grid can reduce carbon intensity, but also presents certain challenges. The uncertainty and intermittent nature of…
A Cyber Insurance Policy for Hedging Against Load-Altering Attacks and Extreme Load Variations in Distribution Grids
Shijie Pan, Zaint A. Alexakis, S Subhash Lakshminarayana +1
Uncertainties in renewable energy resources (RES) and load variations can lead to elevated system operational costs. Moreover, the emergence of large-scale distributed threats, suc…
Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach
Shijie Pan, Aoran Cheng, Yiqi Sun +4
Drone swarms coupled with data intelligence can be the future of wildfire fighting. However, drone swarm firefighting faces enormous challenges, such as the highly complex environm…
Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation
Sajjad Maleki, Shijie Pan, Subhash Lakshminarayana +1
The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-co…