A safe energy policy optimization method for multienergy microgrid control

Y Zhang, Q Cui, L Shi, Y Weng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-energy microgrid (MEMG) control plays a crucial role in meeting diverse energy
demands on the user side. Traditional methods face challenges in handling renewable …

ORCA: Outage root cause analysis in DER-rich power distribution system using data fusion, hierarchical clustering and FP-growth rule mining

A Gholami, AK Srivastava - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
Power outages have been an inevitable part of power delivery systems. In case of large
scale outages with conflicting information in the distribution network with distributed energy …

Twin-delayed deep deterministic policy gradient for low-frequency oscillation dam** control

Q Cui, G Kim, Y Weng - Energies, 2021 - mdpi.com
Due to the large scale of power systems, latency uncertainty in communications can cause
severe problems in wide-area measurement systems. To resolve this issue, a significant …

Privacy-Preserving Incipient Fault Identification in Distribution Networks Under Small Sample and Imbalanced Data Distribution Conditions

Y Zhang, Q Cui, L Shi, J Li - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Accurate incipient fault (IF) identification in distribution networks (DNs) is crucial for
improving the reliability of industrial electricity. Previous studies made great efforts on …

Research on Multi level Protection Method of Distribution Network Based on Intelligent Switch

E Hu, M Zhu, F Zhao, L Zhang… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
Large scale new energy resources are connected to the distribution network, which makes
the fault characteristics of the distribution network more complex, and the protection strategy …

[KSIĄŻKA][B] Disturbance and Outage Root Cause Analysis in Distribution System using Physics-Aware Data-Driven Approaches

A Gholami - 2022 - search.proquest.com
Securing cyber-power distribution systems (DS) against malicious events is critical with
integration of distributed energy resources (DERs), supporting digital automation and …

Research on Distributed Intelligent Protection Strategy of distribution network based on Reinforcement Learning

S Cui, P Zeng, E Hu - … on Information Technology, Big Data and …, 2021 - ieeexplore.ieee.org
In the context of building a new power system with new energy as the main part, the
operation mode of distribution network is more complex, and the traditional distribution …

Application of Deep Reinforcement Learning to Wide Area Power System and Big Data Analysis to Smart Meter Status Monitoring

G Kim - 2021 - search.proquest.com
Due to the large scale of power systems, latency uncertainty in communication can cause
severe problems in wide-area measurement systems. To resolve the issue, a significant …

Distribution System Disturbance Analysis and Outage Management Using Hybrid Data-Driven and Physics-Based Approaches

A Gholami - rex.libraries.wsu.edu
Distribution-level phasor measurement units (D-PMU) data are prone to different types of
anomalies given complex data flow and processing infrastructure in an active power …