activity
20172023
most citedA Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

489 citations · 1.8k across the 58 of their papers we have counts for

collaborators
Showing eess.SPShow all

16 papers · 1 filter

eess.SP2021★ 1 cited

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…

eess.SP2021

A Two-layer Approach for Estimating Behind-the-Meter PV Generation Using Smart Meter Data

Fankun Bu, Rui Cheng, Zhaoyu Wang

As the cost of the residential solar system decreases, rooftop photovoltaic (PV) has been widely integrated into distribution systems. Most rooftop PV systems are installed behind-…

eess.SP2021★ 1 cited

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;…

eess.SP2021★ 2 cited

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…

eess.SP2020

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…

eess.SP2020

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…

eess.SP2020

Enriching Load Data Using Micro-PMUs and Smart Meters

Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang

In modern distribution systems, load uncertainty can be fully captured by micro-PMUs, which can record high-resolution data; however, in practice, micro-PMUs are installed at limit…

eess.SP2020

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…

eess.SP2020★ 67 cited

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…

eess.SP2020★ 45 cited

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…

eess.SP2019★ 113 cited

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-…

eess.SP2019★ 101 cited

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…

eess.SP2019

Data-Driven Based Method for Power System Time-Varying Composite Load Modeling

Jian Xie, Zixiao Ma, Zhaoyu Wang +1

Fast and accurate load parameters identification has great impact on the power systems operation and stability analysis. This paper proposes a novel transfer reinforcement learning…

eess.SP2019

Counterintuitive VSM Behavior under CVR Incorporating Distribution System

Alok Kumar Bharati, Venkataramana Ajjarapu, Zhaoyu Wang

This paper analyses the impact of conservation by voltage reduction (CVR) on voltage stability margin (VSM) considering transmission and distribution (T&D) systems. VSM is determin…

eess.SP2018★ 11 cited

Boundaries of Operation for Refurbished Parallel AC-DC Reconfigurable Links in Distribution Grids

Aditya Shekhar, Laura Ramírez-Elizondo, Pavol Bauer

Parallel ac-dc reconfigurable link technology can find interesting applications in medium voltage power distribution. A given system can operate in different configurations while m…

eess.SP2018★ 1 cited

A Linear Solution Method of Generalized Robust Chance Constrained Real-time Dispatch

Anping Zhou, Ming Yang, Zhaoyu Wang

In this letter, a novel solution method of generalized robust chance constrained real-time dispatch (GRCC-RTD) considering wind power uncertainty is proposed. GRCC models are advan…