Quantifying impacts of automation on resilience of distribution systems

30Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

Abstract

Automating the process of restoring service to customers after a large-scale outage event have significant impacts on the agility and speed of recovery in distribution systems. This study develops a set of probabilistic metrics to assess the impact of automation in enhancing the resilience of power distribution systems. The proposed metrics capture the features and detailed process of automatically locating and isolating faults and restoring the service to customers in distribution systems. In addition, this study develops a model to evaluate the spatio–temporal impacts of hurricane on power distribution systems, which is used to generate hurricane-induced outage scenarios to calculate the resilience metrics given different automation schemes. The proposed model is utilised to evaluate the resilience of bus number four of Roy Billinton Test System in the face of a passing hurricane. The metrics are calculated to evaluate the impact of different levels of automation throughout the network, the intensity of the hurricane, and line hardening on the resilience of the system.

Cite

CITATION STYLE

APA

Hosseini, M. M., & Parvania, M. (2020). Quantifying impacts of automation on resilience of distribution systems. IET Smart Grid, 3(2), 144–152. https://doi.org/10.1049/iet-stg.2019.0175

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free