Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems

Jian Zhou, David W. Coit, Frank A. Felder and Stamatis Tsianikas

Reliability Engineering and System Safety, 2023, vol. 237, issue C

Abstract: Efficient operation of modern society is largely dependent upon the reliable functioning of critical infrastructure with networked structures. The resilience of these network systems becomes a matter of great concern since the increasingly complex network dependency contributes to, although uncommon, devastating cascading failures in real-world network systems. Traditionally, system hardening and restoration are employed sequentially to reduce system failure influence while it may not be effective for mitigating cascading failures in dependent network systems. A new cascading failure model that considers the mix of multiple failures resulting from local and global network load redistributions associated with network dependency is established. A framework which jointly optimizes network system hardening and restoration for improving resilience against mixed cascading failures is proposed. It is designed to minimize total cost, including system hardening cost, restoration cost and economic loss caused by cascading failures. In the case studies, the impact of cascading failures in power generation and transmission systems on distribution systems is explored regarding the comprehensive power network resilience. Mixed-integer genetic algorithms are developed to solve this stochastic problem. The results show that this research can provide insights on how to mitigate and restore real-life dependent network systems cost-effectively from future unforeseen cascading failures.

Keywords: Cascading failures; Network dependency; Joint optimization of hardening and restoration; Resilience enhancement (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:237:y:2023:i:c:s0951832023002909

DOI: 10.1016/j.ress.2023.109376

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