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Found 10 papers, 2 papers with code
GridWarm: Towards Practical Physics-Informed ML Design and Evaluation for Power Grid
When applied to a real-world safety critical system like the power grid, general machine learning methods suffer from expensive training, non-physical solutions, and limited interpretability.
Circuit-theoretic Line Outage Distribution Factor
This work presents the design of AC line outage distribution factor created from the circuit-theoretic power flow models.
Equivalent Circuit Programming for Power Flow Analysis and Optimization
This paper extends the theoretical foundation of Equivalent Circuit Programming to enable the fusion of optimization theory and algorithms with the numerical methods that utilize the domain-specific knowledge of power flow models.
A Risk-Managed Steady-State Analysis to Assess The Impact of Power Grid Uncertainties
Increased levels of randomness and variability are introducing new uncertainties into power systems that can impact system operability and reliability.
Adversarially Robust Learning for Security-Constrained Optimal Power Flow
In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been explored.
A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model
Using this grid model, the state estimation is formulated as a Linear Programming (LP) problem whose solution includes a sparse vector of noise terms, which localizes suspicious wrong status and bad data separately.
Analytical Inverter-Based Distributed Generator Model for Power Flow Analysis
Quantifying the impact of inverter-based distributed generation (DG) sources on power-flow distribution system cases is arduous.
Combined Transmission and Distribution State-Estimation for Future Electric Grids
Instead, a more distributed yet coordinated approach for grid operation and control will emerge that models and analyzes the grid with a larger footprint and deeper hierarchy to unify control of disparate T&D grid resources under a common framework.
Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge
Fast and accurate optimization and simulation is widely becoming a necessity for large scale transmission resiliency and planning studies such as N-1 SCOPF, batch contingency solvers, and stochastic power flow.
Dynamic Graph-Based Anomaly Detection in the Electrical Grid
Given sensor readings over time from a power grid, how can we accurately detect when an anomaly occurs?
