activity
20182022
most citedResilient Distribution System Restoration with Communication Recovery by Drone Small Cells

5 citations · 9 across the 5 of their papers we have counts for

collaborators

7 papers

eess.SY20225 cited

Resilient Distribution System Restoration with Communication Recovery by Drone Small Cells

Haochen Zhang, Chen Chen, Shunbo Lei +1

Distribution system (DS) restoration after natural disasters often faces the challenge of communication failures to feeder automation (FA) facilities, resulting in prolonged load p…

eess.SP20201 cited

Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion

Shunbo Lei, David Hong, Johanna L. Mathieu +1

Commercial building heating, ventilation, and air conditioning (HVAC) systems have been studied for providing ancillary services to power grids via demand response (DR). One critic…

math.OC2019

Transmission System Resilience Enhancement with Extended Steady-state Security Region in Consideration of Uncertain Topology Changes

Chong Wang, Feng Wu, Ping Ju +3

The increasing extreme weather events poses unprecedented challenges on power system operation because of their uncertain and sequential impacts on power systems. This paper propos…

eess.SY2019

Ensemble learning based linear power flow

Ren Hu, QiFeng Li

This paper develops an ensemble learning-based linearization approach for power flow, which differs from the network-parameter based direct current (DC) power flow or other extende…

math.OC2019

Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation

Shunbo Lei, Chen Chen, Yue Song +1

Network reconfiguration is an effective strategy for different purposes of distribution systems (DSs), e.g., resilience enhancement. In particular, DS automation, distributed gener…

math.OC20193 cited

Markov Decision Process-based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach

Chong Wang, Ping Ju, Shunbo Lei +2

Because failures in distribution systems caused by extreme weather events directly result in consumers' outages, this paper proposes a state-based decision-making model with the ob…