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20182022
most citedOutage Detection in Partially Observable Distribution Systems using Smart Meters and Generative Adversarial Networks

4 citations · 9 across the 8 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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.SY2020

Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems

Qianzhi Zhang, Yifei Guo, Zhaoyu Wang +1

This paper proposes an asychronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by opti…

eess.SP2020

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…