The Effects of Correctly Modeling Generator Step-Up Transformer Status in Geomagnetic Disturbance Studies

no code implementations • 23 Aug 2022 • Jessica L. Wert, Pooria Dehghanian, Jonathan Snodgrass, Thomas J. Overbye

This paper presents GMD case studies on 2000-bus and 24, 000-bus systems in which reactive power losses and geomagnetically induced currents are compared across scenarios in which the GSU transformers for the disconnected generators are either in-service or out-of-service.

Considerations in the Automatic Development of Electric Grid Restoration Plans

no code implementations • 30 Oct 2020 • Wonhyeok Jang, Hao Huang, Katherine R. Davis, Thomas J. Overbye

Power system restoration is a highly complex task that must be performed in a timely manner following a blackout.

Deep Reinforcement Learning for Electric Transmission Voltage Control

no code implementations • 11 Jun 2020 • Brandon L. Thayer, Thomas J. Overbye

Today, human operators primarily perform voltage control of the electric transmission system.

reinforcement-learning Reinforcement Learning (RL)

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

1 code implementation • 7 Aug 2019 • Sogol Babaeinejadsarookolaee, Adam Birchfield, Richard D. Christie, Carleton Coffrin, Christopher DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cedric Josz, Roman Korab, Bernard Lesieutre, Jean Maeght, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ray Zimmerman

Consequently, benchmarking studies using the seminal AC Optimal Power Flow (AC-OPF) problem have emerged as the primary method for evaluating these emerging methods.

Optimization and Control