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Improved resilience measure for component recovery priority in power grids |
Guanghan BAI1, Han WANG2, Xiaoqian ZHENG3, Hongyan DUI3( ), Min XIE4 |
1. Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China 2. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China 3. School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China 4. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China |
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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.
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Keywords
resilience measure
power grid
importance measure
component recovery
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Corresponding Author(s):
Hongyan DUI
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Just Accepted Date: 08 May 2021
Online First Date: 08 June 2021
Issue Date: 01 November 2021
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