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20212023
most citedOnline Voltage Control for Unbalanced Distribution Networks Using Projected Newton Method

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

collaborators

9 papers

eess.SY2023

Optimal Power Flow for Integrated Primary-Secondary Distribution Networks with Center-Tapped Service Transformers

Rui Cheng, Naihao Shi, Zhaoyu Wang +1

Secondary distribution networks (SDNets) play an increasingly important role in smart grids due to a high proliferation of distributed energy resources (DERs) in SDNets. However, m…

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★ 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.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.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…