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

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28 papers · 1 filter

eess.SY2023★ 5 cited

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…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2022★ 1 cited

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…

eess.SY2022

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…

eess.SY2022★ 2 cited

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…

eess.SY2022★ 3 cited

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…

eess.SY2021★ 3 cited

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…

eess.SY2021

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…

eess.SY2021★ 2 cited

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…

eess.SY2021★ 91 cited

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…

eess.SY2020★ 97 cited

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…

eess.SY2020★ 63 cited

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…

eess.SY2020★ 40 cited

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…

eess.SY2020★ 89 cited

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.SY2020★ 51 cited

Extracting resilience metrics from distribution utility data using outage and restore process statistics

Nichelle'Le K. Carrington, Ian Dobson, Zhaoyu Wang

Resilience curves track the accumulation and restoration of outages during an event on an electric distribution grid. We show that a resilience curve generated from utility data ca…

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

High-Fidelity Large-Signal Order Reduction Approach for Composite Load Model

Zixiao Ma, Zhaoyu Wang, Dongbo Zhao +1

With the increasing penetration of electronic loads and distributed energy resources (DERs), conventional load models cannot capture their dynamics. Therefore, a new comprehensive…

eess.SY2019★ 1 cited

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…

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.SY2019★ 6 cited

Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids

Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang +2

This paper presents a supervised multi-agent safe policy learning (SMAS-PL) method for optimal power management of networked microgrids (MGs) in distribution systems. While convent…

eess.SY2018★ 28 cited

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…