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Enhanced Power and Communication Modeling in Cyber-Physical Distribution Grids for Resilience-based Optimization

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Abstract

Evolving smart grid (SG) services for demand side applications, markets, and various stakeholders are well addressed leaning on Information and Communication Technologies (ICTs). Yet, this technological leap induced high complexity in the grid, due to various power-ICT interdependencies. Managing this complexity has been very challenging over the last decade as prototyping and tools to faithfully replicate SG dynamics and all involved interactions with ICTs are this far out-of-reach. Advanced attempts considered co-simulation of both power and ICT infrastructures using domain-specific software, resulting in a relatively good description but an additional outlay of synchronization and handling different time scales. For SG studies that require low level of details and adopt a systemic view, like resilience evaluation, modeling is better suited to shed the light on paramount features. Smart grid modeling is generally electric system oriented by wide dominance of power flow analysis, associated with very few considerations of ICTs. Availability of telecommunication points-of-interest is considered in this work to capture the interdependence between power and ICT domains of the distribution grid. The integrated modeling inherently omits extra inter-domain synchronization overhead. Different telecommunication settings are therefore compared for fault localization, isolation, and service restoration (FLISR) function. An application of the joint modeling is successfully illustrated in case of resilience-based power service restoration under extreme event failure scenarios.
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Dates and versions

hal-03898749 , version 1 (05-01-2023)

Identifiers

  • HAL Id : hal-03898749 , version 1

Cite

Youba Nait Belaid, Anne Barros, Yi-Ping Fang, Zhiguo Zeng, Patrick Coudray, et al.. Enhanced Power and Communication Modeling in Cyber-Physical Distribution Grids for Resilience-based Optimization. 32nd European Safety and Reliability Conference (ESREL 2022), Aug 2022, Dublin (Ireland), Ireland. pp.289-295. ⟨hal-03898749⟩
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