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Found 13 papers, 5 papers with code
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
Higher variability in grid conditions, resulting from growing renewable penetration and increased incidence of extreme weather events, has increased the difficulty of screening for scenarios that may lead to catastrophic cascading failures.
Security Constrained Optimal Power Shutoff
To address this gap, we propose the Security-Constrained Optimal Power Shutoff (SC-OPS) problem which uses post-contingency security constraints to model the impact of unexpected line faults when planning a PSPS.
Optimal Design and Cascading Failure Evaluation of Remedial Action Schemes
The proposed framework is applied to the RTS-96 24-bus network.
Efficient Representations of Radiality Constraints in Optimization of Islanding and De-Energization in Distribution Grids
Optimization of power distribution system topology is complicated by the requirement that the system be operated in a radial configuration.
Co-optimization of power line shutoff and restoration under high wildfire ignition risk
Specifically, our model co-optimizes the power shutoff (considering both wildfire risk reduction and power outages) as well as the post-event restoration efforts given constraints related to inspection and energization of lines, and is implemented as a rolling horizon optimization problem that is resolved whenever new forecasts of load and wildfire risk become available.
Recursive Restoration Refinement: A Fast Heuristic for Near-Optimal Restoration Prioritization in Power Systems
The prioritization of restoration actions after large power system outages plays a key role in how quickly power can be restored.
The Role of Distributed Energy Resources in Distribution System Restoration
With increasing levels of distributed energy resources (DERs) connected to the grid, it is important to understand the role that DERs can play in post-disaster restoration.
A Guide to Reducing Carbon Emissions through Data Center Geographical Load Shifting
This paper focuses on how data centers can use their geographic load flexibility to reduce carbon emissions through clever interactions with electricity markets.
Stochastic Hybrid Approximation for Uncertainty Management in Gas-Electric Systems
We demonstrate that coordinated uncertainty management that accounts for the gas system can significantly reduce both electric and gas system load shed in stressed conditions.
Low Frequency AC Transmission Upgrades with Optimal Frequency Selection
In this paper, we investigate the use of LFAC as a transmission upgrade and propose models and analysis methods to determine the optimal choice of frequency.
PowerModelsRestoration.jl: An Open-Source Framework for Exploring Power Network Restoration Algorithms
With the escalating frequency of extreme grid disturbances, such as natural disasters, comes an increasing need for efficient recovery plans.
Balancing Wildfire Risk and Power Outages through Optimized Power Shut-Offs
Electric grid faults can be the source of catas-trophic wildfires, particularly in regions with high winds andlow humidity.
A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty
As renewable wind energy penetration rates continue to increase, one of the major challenges facing grid operators is the question of how to control transmission grids in a reliable and a cost-efficient manner.
Systems and Control
