activity
20162022
most citedEnsuring Transient Stability with Guaranteed Region of Attraction in DC Microgrids

19 citations · 26 across the 6 of their papers we have counts for

collaborators

17 papers

math.OC202219 cited

Ensuring Transient Stability with Guaranteed Region of Attraction in DC Microgrids

Jianzhe Liu, Yichen Zhang, Antonio J. Conejo +1

DC microgrids have promising applications in renewable integration due to their better energy efficiency when connecting DC components. However, they might be unstable since many l…

math.OC20221 cited

Repair Crew Routing for Power Distribution Network Restoration

Bahar Çavdar, Qie He, Feng Qiu

As extreme weather events become more frequent and disruptive, service restoration is increasingly important for many infrastructures, e.g., power grids and communication networks.…

cs.DC20211 cited

Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding

Rui Yao, Feng Qiu, Kai Sun

In the steady-state contingency analysis, the traditional Newton-Raphson method suffers from non-convergence issues when solving post-outage power flow problems, which hinders the…

cs.CE20211 cited

Hybrid QSS and Dynamic Extended-Term Simulation Based on Holomorphic Embedding

Rui Yao, Feng Qiu

Power system simulations that extend over a time period of minutes, hours, or even longer are called extended-term simulations. As power systems evolve into complex systems with in…

eess.SY2021

Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

Yichen Zhang, Hantao Cui, Jianzhe Liu +4

With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained uni…

eess.SY2020

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…