Tianjin Research Institute of Electric Science (China)

Pre-control scheme generation for extreme-weather power imbalance risk using multi-resource frequency regulation and deep reinforcement learning

To address the power imbalance risk between renewable energy output and load demand under extreme weather conditions, this paper proposes a pre-control scheme generation method based on the integration of multiple frequency regulation resources and deep reinforcement learning. Fi...

Indium‐Mediated Electrolyte with Efficient Mg 2+ Transport and CO 2 Pathway Selection for Highly Reversible Mg–CO 2 Batteries

ABSTRACT Mg–CO 2 batteries present promising potential for integrated energy storage and carbon fixation, though their advancement is limited by slow cathodic CO 2 conversion kinetics and insufficient reversibility. Here, we report an In‐mediated electrolyte that couples solvatio...

An Edge Computing-Enabled Optimal Control Method for Low-Voltage Distribution Networks

High penetration of distributed photovoltaic (PV) generation in low-voltage distribution networks can cause voltage violations, limited PV accommodation, and uneven loading among neighboring distribution transformers (DTs). To address these issues, an edge computing-enabled optim...

New Energy Vehicles and Charging and Battery-Swapping Infrastructure: Development Patterns, Policy Drivers, and the Evolution of Vehicle–Grid Interaction

The rapid expansion of electric mobility is reshaping both transport infrastructure and power-system operation. This narrative and critical review examines the connected evolution of new energy vehicle (NEV) markets, charging and battery-swapping infrastructure, policy mechanisms...