activity
20182022
most citedA Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

489 citations · 1k across the 19 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.SY2019★ 2 cited

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…

eess.SY2019★ 4 cited

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…

eess.SY2019★ 4 cited

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…

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…