Zhaohong Bie
Xi'an Jiaotong University
272 Papers
560 Citations
Zhaohong Bie is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 31, co-authored 191 publications. Previous affiliations of Zhaohong Bie include University of Connecticut & University of South Florida.
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Papers
Battling the Extreme: A Study on the Power System Resilience
Zhaohong Bie,Yanling Lin,Gengfeng Li,Furong Li +3 more
- 06 Apr 2017
TL;DR: The concept, metrics, and a quantitative framework for power system resilience evaluation are presented, with an emphasis on the new technologies such as topology reconfiguration, microgrids, and distribution automation and how to increase system resilience against extreme events.
716
A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks
TL;DR: Wang et al. as discussed by the authors proposed a two-stage robust optimization model to coordinate the discrete and continuous reactive power compensators and find a robust optimal solution that can hedge against any possible realization within the uncertain wind power output.
420
Microgrids for Enhancing the Power Grid Resilience in Extreme Conditions
TL;DR: The objective of this paper is to demonstrate that controllable and islandable microgrids can help improve the resiliency of power grids in extreme conditions.
338
A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration
TL;DR: In this paper, a load restoration optimization model is proposed to coordinate topology reconfiguration and microgrid formation while satisfying a variety of operational constraints, which exploits benefits of operational flexibility provided by grid modernization to enable more critical load pickup.
323
A New Model for Resilient Distribution Systems by Microgrids Formation
TL;DR: A new model to reformulate the micorgrid formulation problem in resilient distribution networks is presented, such that the computational performance is significantly improved and the number of both binary and continuous variables is greatly reduced.
247