489 citations · 997 across the 21 of their papers we have counts for
21 papers
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles
Dingwei Wang, Yuxuan Yuan, Rui Cheng +1
This paper develops a data-driven approach to accurately predict the restoration time of outages under different scales and factors. To achieve the goal, the proposed method consis…
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…
Learning Latent Interactions for Event classification via Graph Neural Networks and PMU Data
Yuxuan Yuan, Zhaoyu Wang, Yanchao Wang
Phasor measurement units (PMUs) are being widely installed on power systems, providing a unique opportunity to enhance wide-area situational awareness. One essential application is…
Disaggregating Customer-level Behind-the-Meter PV Generation Using Smart Meter Data and Solar Exemplars
Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan +2
Customer-level rooftop photovoltaic (PV) has been widely integrated into distribution systems. In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is r…
Learning-Based Real-Time Event Identification Using Rich Real PMU Data
Yuxuan Yuan, Yifei Guo, Kaveh Dehghanpour +2
A large-scale deployment of phasor measurement units (PMUs) that reveal the inherent physical laws of power systems from a data perspective enables an enhanced awareness of power s…
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…
Outage Detection in Partially Observable Distribution Systems using Smart Meters and Generative Adversarial Networks
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
In this paper, we present a novel data-driven approach to detect outage events in partially observable distribution systems by capturing the changes in smart meters' (SMs) data dis…
Singular Perturbation-based Large-Signal Order Reduction of Microgrids for Stability and Accuracy Synthesis with Control
Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan +1
With the increasing penetration of distributed energy resources (DERs), it is of vital importance to study the dynamic stability of microgrids (MGs) with external control inputs in…
Statistical Modeling of Networked Solar Resources for Assessing and Mitigating Risk of Interdependent Inverter Tripping Events in Distribution Grids
Kaveh Dehghanpour, Yuxuan Yuan, Fankun Bu +1
It is speculated that higher penetration of inverter-based distributed photo-voltaic (PV) power generators can increase the risk of tripping events due to voltage fluctuations. To…
A Data-Driven Game-Theoretic Approach for Behind-the-Meter PV Generation Disaggregation
Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan +2
Rooftop solar photovoltaic (PV) power generator is a widely used distributed energy resource (DER) in distribution systems. Currently, the majority of PVs are installed behind-the-…
A Time-Series Distribution Test System Based on Real Utility Data
Fankun Bu, Yuxuan Yuan, Zhaoyu Wang +2
In this paper, we provide a time-series distribution test system. This test system is a fully observable distribution grid in Midwest U.S. with smart meters (SM) installed at all e…
A Data-Driven Customer Segmentation Strategy Based on Contribution to System Peak Demand
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
Advanced metering infrastructure (AMI) enables utilities to obtain granular energy consumption data, which offers a unique opportunity to design customer segmentation strategies ba…
Secondary Voltage Control of Microgrids Using Nonlinear Multiple Models Adaptive Control
Zixiao Ma, Zhaoyu Wang, Yifei Guo +2
This paper proposes a novel model-free secondary voltage control (SVC) for microgrids using nonlinear multiple models adaptive control. The proposed method is comprised of two comp…
A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration
Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang +1
Cold load pick-up (CLPU) has been a critical concern to utilities. Researchers and industry practitioners have underlined the impact of CLPU on distribution system design and servi…
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
This paper presents a review of the literature on State Estimation (SE) in power systems. While covering some works related to SE in transmission systems, the main focus of this pa…
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation
Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang +1
In this paper, we present an efficient computational framework with the purpose of generating weighted pseudo-measurements to improve the quality of Distribution System State Estim…
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability
Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu +1
This paper presents a novel data-driven method that determines the daily consumption patterns of customers without smart meters (SMs) to enhance the observability of distribution s…