Kai Wu

Dr. Kai Wu

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 February 2020 in IEEE Transactions on Industrial Informatics
Verified
Journal Article
Closed access
ZYZhigang Ye
Zhigang Ye
CCChen Chen
Chen Chen
BCBo Chen
Bo Chen
KWKai Wu
Kai Wu
This paper proposes an integrated optimization model for unbalanced distribution system restoration (DSR) after large-scale power outages caused by extreme events. The model can coordinate the control actions of multiple types of distributed energy resources (DERs), including dispatchable distributed generators (DGs), renewable DGs (mainly wind and solar), and energy storage systems (ESSs). The model also considers topology flexibility by forming dynamic islands through reconfiguration. Besides, the optimal dispatch model of repair crews (RCs) and mobile emergency generators (MEGs) are also proposed to leverage the restoration capabilities of existing DERs installed in the distribution systems. The integrated optimization model is linearized to be a mixed-integer linear programming (MILP) form, which can be effectively solved by off-the-shelf solvers such as Cplex and Gurobi. Numerical results on IEEE 123 and 8500 node test feeders validated the effectiveness of the proposed model and highlighted the necessity of coordinating various flexible resources.

1 January 2022 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
ZZZihang Zhang
Zihang Zhang
ISIsam Saedi
Isam Saedi
SMSleiman Mhanna
Sleiman Mhanna
KWKai Wu
Kai Wu
PMPierluigi Mancarella
Pierluigi Mancarella

8 September 2022 in IEEE Transactions on Smart Grid
Verified
Journal Article
Closed access
ZYZhigang Ye
Zhigang Ye
CCChen Chen
Chen Chen
RLRuihuan Liu
Ruihuan Liu
KWKai Wu
Kai Wu
ZBZhaohong Bie
Zhaohong Bie
YYYubo Yuan
Yubo Yuan
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events. However, most of the existing studies assume the communication infrastructures are intact for distribution automation, which is unrealistic. Motivated by the applications of the emergency communication vehicles (ECVs) in quickly setting up wireless communication networks after disasters, in this paper, we propose an integrated distribution system restoration (DSR) framework and optimization models, which can coordinate the repair crews, the distribution system (physical sectors), and the emergency communication (cyber sectors) to pick up unserved power loads as quickly as possible. Case studies validated the effectiveness of the proposed models and proved the benefit of considering ECVs and cyber-physical interdependencies in DSR.

7 June 2023 in Journal of Energy Chemistry
Verified
Journal Article
Closed access
ZLZhengrong Liu
Zhengrong Liu
Zhou JunZhou Jun
Zhou Jun
YSYueyue Sun
Yueyue Sun
XYXiangling Yue
Xiangling Yue
JYJiaming Yang
Jiaming Yang
KWKai Wu
Kai Wu

15 March 2010 in Journal of Applied Physics
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Journal Article
Closed access
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KWKai Wu
Kai Wu
YWYang Wang
Yang Wang
YCYonghong Cheng
Yonghong Cheng
LDLeonard Alexander Dissado
Leonard Alexander Dissado
XLXiaojun Liu
Xiaojun Liu
A simulation model to investigate the statistical property of electrical breakdown is presented based on the field-assisted percolation model for dielectric breakdown, by expressing the disorder in morphology as randomly distributed trap barriers. The effects of sample area and large defects on the statistical property of breakdown are also studied, and the statistical behavior of the lifetime is investigated by considering the stochastic development of deteriorated regions. In addition an equation describing the breakdown probability in homogeneous materials is derived from percolation theory, which we show fits well to the simulation data. The breakdown probability is expressed in terms of trap distribution, and thus provides a way to connect the disorder in polymer morphology with the stochastic nature of breakdown.

11 March 2024 in Journal of Energy Storage
Verified
Journal Article
Closed access
XCXin Chen
Xin Chen
YQYuwen Qin
Yuwen Qin
WZWeidong Zhao
Weidong Zhao
QYQiming Yang
Qiming Yang
NCNingbo Cai
Ningbo Cai
KWKai Wu
Kai Wu