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Found 9 papers, 4 papers with code
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids
As climate change increases the risk of large-scale wildfires, wildfire ignitions from electric power lines are a growing concern.
Optimal Energy Rationing for Prepaid Electricity Customers
With this group of customers in mind, we propose an optimization-based energy management framework to effectively use a limited budget and avoid the disruptions and fees associated with disconnections.
California Test System (CATS): A Geographically Accurate Test System based on the California Grid
This paper presents the California Test System (CATS), a synthetic transmission grid in California that can be used by the public for power systems policy research without revealing any critical energy information.
Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids
The growing penetration of distributed energy resources (DERs) is leading to continually changing operating conditions, which need to be managed efficiently by distribution grid operators.
Enabling Undergrounding of Long-Distance Transmission Lines with Low Frequency AC Technology
With increasing prevalence of severe natural hazards and the ignition of wildfires by power lines, many power system planners are considering converting overhead lines to underground cables to mitigate risks related to these events.
Exploring the Impacts of Power Grid Signals on Data Center Operations using a Receding-Horizon Scheduling Model
An obstacle that arises here is the lack of computationally-tractable DC operation models that can capture objectives, constraints, and information flows that arise at the interface of DCs and the power grid.
Using Geographic Load Shifting to Reduce Carbon Emissions
An increasing focus on the electricity use and carbon emissions associated with computing has lead to pledges by major cloud computing companies to lower their carbon footprint.
A Framework for Risk Assessment and Optimal Line Upgrade Selection to Mitigate Wildfire Risk
As wildfires in the United States are becoming more frequent and severe, mitigating wildfire ignition risk from power line faults is an increasingly crucial effort.
Statistical Learning For DC Optimal Power Flow
Although the number of possible bases is exponential in the size of the system, we show that only a few of them are relevant to system operation.
Optimization and Control
