Literature review on modeling and simulation of energy infrastructures from a resilience perspective

Abstract

Recent years have witnessed an increasing frequency of disasters, both natural and human-induced. This applies pressure to critical infrastructures (CIs). Among all the CI sectors, the energy infrastructure plays a critical role, as almost all other CIs depend on it. In this paper, 30 energy infrastructure models dedicated for the modeling and simulation of power or natural gas networks are collected and reviewed using the emerging concept of resilience. Based on the review, typical modeling approaches for energy infrastructure resilience problems are summarized and compared. The authors, then, propose five indicators for evaluating a resilience model; namely, catering to different stakeholders, intervening in development phases, dedicating to certain stressor and failure, taking into account different interdependencies, and involving socio-economic characteristics. As a supplement, other modeling features such as data needs and time scale are further discussed. Finally, the paper offers observations of existing energy infrastructure models as well as future trends for energy infrastructure modeling.

Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets

“…Tunnels: Huang and Zhang (2016) infrastructure network Transport systems: Saydam et al, (2013), Bocchini and Frangopol (2012a), Hughes and Healy (2014), Chan and Schofer (2015), Kiel et al (2016). Water systems: Mensah and Dueñas-Osorio (2015), Wang et al (2019). Energy networks: Cimellaro et al (2015).…”

Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies

“…A methodology for determining optimal power systems investment for building resilience is presented in [19]. A framework for load restoration in the utility grid is proposed in [6], and strategies for modeling large-scale energy infrastructure from a resilience perspective have been explored in the literature [20]. Power system's infrastructure resilience has therefore been studied extensively; but microgrid resilience remains relatively unexplored.…”

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

“…A recent trend in resilience measures has been accounting for aleatory and epistemic uncertainty with stochastic approaches [28]. Also, addressing larger temporal and spatial scale, integrating more human and social aspects and employing more smart resources and solutions [30] and develop a new model to the time-dependent characteristic of system resilience are the new directions for resilience system modeling [31].…”