489 citations · 1.8k across the 58 of their papers we have counts for
58 papers
Resilience assessment and planning in power distribution systems:Past and future considerations
Shuva Paul, Abodh Poudyal, Shiva Poudel +2
Over the past decade, extreme weather events have significantly increased worldwide, leading to widespread power outages and blackouts. As these threats continue to challenge power…
Robust Model Predictive Techno-Economic Control of Active Distribution Networks
Salish Maharjan, Prashant Tiwari, Rui Cheng +1
Stochastic controllers are perceived as a promising solution for techno-economic operation of distribution networks having higher generation uncertainties at large penetration of r…
Generalized Analytical Estimation of Sensitivity Matrices in Unbalanced Distribution Networks
Salish Maharjan, Rui Cheng, Zhaoyu Wang
Fast and accurate estimation of sensitivity matrices is significant for the enhancement of distribution system modeling and automation. Analytical estimations have mainly focused o…
Analytical Large-Signal Modeling of Inverter-based Microgrids with Koopman Operator Theory for Autonomous Control
Zixiao Ma, Zhaoyu Wang
The microgrid (MG) plays a crucial role in the energy transition, but its nonlinearity presents a significant challenge for large-signal power systems studies in the electromagneti…
Data-Driven Affinely Adjustable Robust Volt/VAr Control
Naihao Shi, Rui Cheng, Liming Liu +2
This paper proposes a data-driven affinely adjustable robust Volt/VAr control (AARVVC) scheme, which modulates the smart inverter reactive power in an affine function of its active…
The most frequent N-k line outages occur in motifs that can improve contingency selection
Kai Zhou, Ian Dobson, Zhaoyu Wang
Multiple line outages that occur together show a variety of spatial patterns in the power transmission network. Some of these spatial patterns form network contingency motifs, whic…
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
Qianzhi Zhang, Fankun Bu, Yi Guo +1
This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced thr…
Automatic Self-Adaptive Local Voltage Control Under Limited Reactive Power
Rui Cheng, Naihao Shi, Salish Maharjan +1
The increasing proliferation of distributed energy resources has posed new challenges to Volt/VAr control problems in distribution networks. To this end, this paper proposes an aut…
Online Voltage Control for Unbalanced Distribution Networks Using Projected Newton Method
Rui Cheng, Zhaoyu Wang, Yifei Guo +1
This paper proposes an online voltage control strategy of distributed energy resources (DERs), based on the projected Newton method (PNM), for unbalanced distribution networks. The…
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…
Analyzing Photovoltaic's Impact on Conservation Voltage Reduction in Distribution Networks
Rui Cheng, Zhaoyu Wang, Yifei Guo +1
Conservation voltage reduction (CVR) has been widely implemented in distribution networks and helped utilities effectively reduce energy and peak load. However, the increasing pene…
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-…
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;…
An Online Feedback-Based Linearized Power Flow Model for Unbalanced Distribution Networks
Rui Cheng, Zhaoyu Wang, Yifei Guo
The non-linearity and non-convexity of power flow models and the phase coupling challenge the analysis and optimization of unbalanced distribution networks. To tackle the challenge…
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 Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints
Qianzhi Zhang, Zixiao Ma, Yongli Zhu +1
This paper proposes a service restoration model for unbalanced distribution systems and inverter-dominated microgrids (MGs), in which frequency dynamics constraints are developed t…
Stochastic Pre-Event Preparation for Enhancing Resilience of Distribution Systems with High DER Penetration
Qianzhi Zhang, Zhaoyu Wang, Shanshan Ma +1
This paper proposes a stochastic optimal preparation and resource allocation method for upcoming extreme weather events in distribution systems, which can assist utilities to achie…
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…
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…
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Yichen Zhang, Feng Qiu, Tianqi Hong +2
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions onli…
Switching Device-Cognizant Sequential Distribution System Restoration
Anmar Arif, Bai Cui, Zhaoyu Wang
This paper presents an optimization framework for sequential reconfiguration using an assortment of switching devices and repair process in distribution system restoration. Compare…
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…