PNNL

Efficient Learning of Power Grid Voltage Control Strategies via Model-based Deep Reinforcement Learning

Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach

Guest Editorial: Special section on Resilient Control of Cyber-Physical Power and Energy Systems

Impacts of Control, Penetration, and Distribution of Embedded Storage Network in Bulk Power System

Physics-informed Deep Reinforcement Learning-based Adaptive Generator Out-of-step Protection for Power Systems

High-Fidelity Dataset Generation for Sensor Anomalies in Power Grids using Hardware-in-the-Loop Testbed

Spokane Eco-District Campus Performance under Alternative Electricity Rates: Benefits for virtual power plant participants and suppliers

A Hybrid Dynamic/Steady-State Tool with Protection Simulation for Cascading-Outage Analysis of Extreme Events in Power Systems

Cassidy Anderson selected to participate in the Epistimi-Women in STEMM Leadership Workshop

Anderson is one of only 25 women from throughout the world selected to participate in the Epistimi-Women in STEMM Leadership Workshop on “Women in the Energy Sector,” held July 15–19 in Athens, Greece.

Are Microgrids a Key to Grid Resiliency?

With an eye on renewable, accessible, and resilient power, PNNL researchers show hyper-local microgrids are a viable option, if designed with the right mix of sources.