Shen, Lijuan, Cassottana, Beatrice, and Tang, Loon Ching (2018) Statistical trend tests for resilience of power systems. Reliability Engineering & System Safety, 177. pp. 138-147.

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Abstract

Through applications of relevant trend tests in the context of resilience analysis, this study conducts an empirical evaluation on the resilience of the U.S. power grid based on the database of the Electric Disturbance Events. To assess trends in systems resilience, we look into three key components associated with each black-out and recovery of power systems, i.e., the time between disruptions, the performance loss of each disruption and the time needed for recovery. We present a combined measure that takes into account all the three components. A modified Lewis–Robinson test is then developed for trend detection in this combined measure. To support the trend analysis of this combined measure, we further perform trend test for the performance loss and the recovery time. It is found that, among various North American Electric Reliability Corporation (NERC) regions of the U.S. power grid, the resilience in the Northeast Power Coordinating Council (NPCC) region has become better. Empirical evidence from the government financial support is used to substantiate these statistical findings.

Item ID:	86166
Item Type:	Article (Research - C1)
ISSN:	1879-0836
Copyright Information:	© 2018 Elsevier Ltd. All rights reserved.
Date Deposited:	25 Jul 2025 02:11
FoR Codes:	49 MATHEMATICAL SCIENCES > 4905 Statistics > 490508 Statistical data science @ 40% 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460501 Data engineering and data science @ 30% 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 30%
SEO Codes:	17 ENERGY > 1799 Other energy > 179999 Other energy not elsewhere classified @ 100%
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