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Contribution of emergency demand response and emergency loading of overhead lines in network resilience enhancements.

Authors :
Abogaleela, Mohamed
Kopsidas, Konstantinos
Wang, Keyi
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell). 2020, Vol. 14 Issue 22, p5219-5229. 11p.
Publication Year :
2020

Abstract

High-impact low-probability weather hazards threaten the power network operation. One of the existing solutions is to reinforce the network with further investment, while the network hardening is restricted by environmental policies and financial conditions. Flexibility methods become increasingly important to enhance network reliability and resilience at low costs. Emergency loadings and probabilistic thermal ratings for overhead lines (OHLs) are the common flexibility options to the network operators. So far, the reliability and resilience impacts of such operations of OHLs and their associated ageing risks are not thoroughly investigated in the up-to-date literature. This study presents a novel resilience enhancement method against windstorms using available emergency demand response in the network and emergency loading of OHLs. The proposed methodology framework can capture the enhancement of network resilience from emergency loading and emergency demand response to provide extra flexibility and minimise network ageing. It is a novel optimisation approach to quantify the trade-off between enhanced network resilience and ageing accounting for operators' preferences regarding the criticality of an individual line's ageing. The proposed method is applied on the IEEE 24 bus reliability test system with having network resilience improvements up to 39% in the conditional value at risk of the energy not supplied and ageing minimisation up to 44%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
14
Issue :
22
Database :
Academic Search Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
146737473
Full Text :
https://doi.org/10.1049/iet-gtd.2020.0751