Search Results for author:
Found 6 papers, 0 papers with code
Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
The increasing integration of electric vehicles (EVs) into the grid can pose a significant risk to the distribution system operation in the absence of coordination.
Guarding the Grid: Enhancing Resilience in Automated Residential Demand Response Against False Data Injection Attacks
Utility companies are increasingly leveraging residential demand flexibility and the proliferation of smart/IoT devices to enhance the effectiveness of residential demand response (DR) programs through automated device scheduling.
Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach
The results show significant improvements in voltage regulation and DER utilization, demonstrating the potential of C-BESS in enabling more reliable DN operation.
MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange
This paper addresses the EV charging coordination by considering vehicle-to-vehicle (V2V) energy exchange as the flexibility to harness in EV charging stations.
Network-Aware Electric Vehicle Coordination for Vehicle-to-Anything Value Stacking Considering Uncertainties
The EV coordination can provide value to the grid and generate benefits for EVs.
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
To support N-1 pre-fault transient stability assessment, this paper introduces a new data collection method in a data-driven algorithm incorporating the knowledge of power system dynamics.
