4 citations · 8 across the 5 of their papers we have counts for
12 papers
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
Rong Yan, Yuxuan Yuan, Zhaoyu Wang +2
Real active distribution networks with associated smart meter (SM) data are critical for power researchers. However, it is practically difficult for researchers to obtain such comp…
Mitigating Smart Meter Asynchrony Error Via Multi-Objective Low Rank Matrix Recovery
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang
Smart meters (SMs) are being widely deployed by distribution utilities across the U.S. Despite their benefits in real-time monitoring. SMs suffer from certain data quality issues;…
Distribution Grid Modeling Using Smart Meter Data
Yifei Guo, Yuxuan Yuan, Zhaoyu Wang
The knowledge of distribution grid models, including topologies and line impedances, is essential to grid monitoring, control and protection. However, this information is often una…
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang +1
Due to increasing penetration of volatile distributed photovoltaic (PV) resources, real-time monitoring of customers at the grid-edge has become a critical task. However, this requ…
Multi-Source Data Fusion Outage Location in Distribution Systems via Probabilistic Graph Models
Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang +1
Efficient outage location is critical to enhancing the resilience of power distribution systems. However, accurate outage location requires combining massive evidence received from…
Two-Layer Volt/VAR Control in Unbalanced Active Distribution Systems: Efficient Optimization and Accurate Tracking
Yifei Guo, Qianzhi Zhang, Zhaoyu Wang +2
This paper proposes a novel two-layer Volt/VAR control (VVC) framework to regulate the voltage profiles across an unbalanced active distribution system, which achieves both the eff…