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Found 16 papers, 4 papers with code
Circuit-theoretic Joint Parameter-State Estimation -- Balancing Optimality and AC Feasibility
AC State Estimation (ACSE) is widely recognized as a practical approach for determining the grid states in steady-state conditions.
Anomaly Detection in Power Grids via Context-Agnostic Learning
Given time-series measurement values coming from a fixed set of sensors on the grid, can we identify anomalies in the network topology or measurement data?
ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity
Most of these DHC algorithms utilize the concept of operating envelopes (OE), where the utility gives prosumers technical power export limits, and they are free to export power within these limits.
Optimization-based Framework for Selecting Under-frequency Load Shedding Parameters
High penetration of renewable resources results in a power system with lower inertia and higher frequency sensitivity to power imbalances.
Towards Energysheds: A Technical Definition and Cooperative Planning Framework
There is growing interest in understanding how interactions between national and global policy objectives and local community decision-making will impact the clean energy transition.
Tutorial: Circuit-based Electromagnetic Transient Simulation
The growing penetration of inverter-based resources and associated controls necessitates system-wide electromagnetic transient (EMT) analyses.
Continuous Switch Model and Heuristics for Mixed-Integer Problems in Power Systems
In this work, we map the MINLP decision problem into a set of equivalent circuits by representing binary variables with a circuit-based continuous switch model.
Towards Practical Physics-Informed ML Design and Evaluation for Power Grid
This work formalizes a new concept of physical interpretability which assesses how a ML model makes predictions in a physically meaningful way and introduces an evaluation methodology that identifies a set of attributes that a practical method should satisfy.
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.
A Risk-Managed Steady-State Analysis to Assess the Impact of Power Grid Uncertainties
Electricity systems are experiencing increased effects of randomness and variability due to emerging stochastic assets.
A Convex Method of Generalized State Estimation using Circuit-theoretic Node-breaker Model
An accurate and up-to-date topology is critical for situational awareness of a power grid; however, wrong switch statuses due to physical damage, communication error, or cyber-attack, can often result in topology errors.
Practical Adoption of Cloud Computing in Power Systems- Drivers, Challenges, Guidance, and Real-world Use Cases
Motivated by The Federal Energy Regulatory Commission's (FERC) recent direction and ever-growing interest in cloud adoption by power utilities, a Task Force was established to assist power system practitioners with secure, reliable and cost-effective adoption of cloud technology to meet various business needs.
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?
