88 citations · 165 across the 8 of their papers we have counts for
8 papers · 1 filter
Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control
Ying Zhang, Meng Yue
Under voltage load shedding (UVLS) for power grid emergency control builds the last defensive perimeter to prevent cascade outages and blackouts in case of contingencies. This lett…
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems
Ying Zhang, Yanbo Chen, Jianhui Wang +2
Current transmission and distribution system states are mostly unobservable to each other, and state estimation is separately conducted in the two systems owing to the differences…
Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning
Ying Zhang, Meng Yue, Jianhui Wang
Emergency control, typically such as under-voltage load shedding (UVLS), is broadly used to grapple with low voltage and voltage instability issues in practical power systems under…
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems
Ying Zhang, Xinan Wang, Jianhui Wang +1
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (MADRL) in unbalanced distribution systems. This method is novel…
Graph-based Faulted Line Identification Using Micro-PMU Data in Distribution Systems
Ying Zhang, Jianhui Wang, Mohammad Khodayar
Motivated by increasing penetration of distributed generators (DGs) and fast development of micro-phasor measurement units (μPMUs), this paper proposes a novel graph-based faulted…
Attack Identification and Correction for PMU GPS Spoofing in Unbalanced Distribution Systems
Ying Zhang, Jianhui Wang, Jianzhe Liu
Due to the vulnerability of civilian global positioning system (GPS) signals, the accuracy of phasor measurement units (PMUs) can be greatly compromised by GPS spoofing attacks (GS…
Interval State Estimation with Uncertainty of Distributed Generation and Line Parameters in Unbalanced Distribution Systems
Ying Zhang, Jianhui Wang, Zhengshuo Li
Distribution system state estimation (DSSE), which provides critical information for system monitoring and control, is being challenged by multiple sources of uncertainties such as…
Towards Highly Efficient State Estimation with Nonlinear Measurements in Distribution Systems
Ying Zhang, Jianhui Wang
This letter proposes a novel and highly efficient distribution system state estimation (DSSE) algorithm with nonlinear measurements from supervisory control and data acquisition (S…