Statistical trend tests for resilience of power systems

Lijuan Shen, Beatrice Cassottana and Loon Ching Tang

Reliability Engineering and System Safety, 2018, vol. 177, issue C, 138-147

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.

Keywords: Trend test; Resilience; Frequency of occurrence; Performance loss; Recovery time (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832017306002
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:177:y:2018:i:c:p:138-147

DOI: 10.1016/j.ress.2018.05.006

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().