(Peer-Reviewed) Improved resilience measure for component recovery priority in power grids
Guanghan BAI 白光晗 ¹, Han WANG 王寒 ², Xiaoqian ZHENG 郑小倩 ³, Hongyan DUI 兑红炎 ³, Min XIE 谢旻 ⁴
¹ Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
中国 长沙 国防科技大学 装备综合保障技术重点实验室
² School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
中国 北京 北京理工大学管理与经济学院
³ School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China
中国 郑州 郑州大学管理工程学院
⁴ Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China
中国 香港 香港城市大学系统工程与工程管理系
Abstract
Given the complexity of power grids, the failure of any component may cause large-scale economic losses. Consequently, the quick recovery of power grids after disasters has become a new research direction. Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding importance measures are proposed. The recovery priority of failed components after a disaster is determined according to the influence of the failed components on the power grid resilience.
Finally, based on the data from the 2019 Power Yearbook of each city in Shandong Province, China, the power grid resilience after a disaster is analyzed for two situations, namely, partial components failure and failure of all components. Result shows that the recovery priorities of components with different importance measures vary. The resilience evaluations under different repair conditions prove the feasibility of the proposed method.
Embedded solar adaptive optics telescope: achieving compact integration for high-efficiency solar observations
Naiting Gu, Hao Chen, Ao Tang, Xinlong Fan, Carlos Quintero Noda, Yawei Xiao, Libo Zhong, Xiaosong Wu, Zhenyu Zhang, Yanrong Yang, Zao Yi, Xiaohu Wu, Linhai Huang, Changhui Rao
Opto-Electronic Advances
2025-05-27
Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification
Wenbo Li, Yukun Long, Yingyin Yan, Kun Xiao, Zhuo Wang, Di Zheng, Arnaldo Leal-Junior, Santosh Kumar, Beatriz Ortega, Carlos Marques, Xiaoli Li, Rui Min
Opto-Electronic Advances
2025-05-27
Integrated photonic polarizers with 2D reduced graphene oxide
Junkai Hu, Jiayang Wu, Di Jin, Wenbo Liu, Yuning Zhang, Yunyi Yang, Linnan Jia, Yijun Wang, Duan Huang, Baohua Jia, David J. Moss
Opto-Electronic Science
2025-05-22
Structural color: an emerging nanophotonic strategy for multicolor and functionalized applications
Wenhao Wang, Long Wang, Qianqian Fu, Wang Zhang, Liuying Wang, Gu Liu, Youju Huang, Jie Huang, Haoyuan Zhang, Fuqiang Guo, Xiaohu Wu
Opto-Electronic Science
2025-04-25
