A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency

Rocchetta, Roberto and Zio, Enrico and Patelli, Edoardo (2018) A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency. Applied Energy, 210. pp. 339-350. ISSN 0306-2619

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    Abstract

    A generalised uncertainty quantification framework for resilience assessment of weather-coupled, repairable power grids is presented. The framework can be used to efficiently quantify both epistemic and aleatory uncertainty affecting grid-related and weather-related factors. The power grid simulator has been specifically designed to model interactions between severe weather conditions and grid dynamic states and behaviours, such as weather-induced failures or delays in components replacements. A resilience index is computed by adopting a novel algorithm which exploits a vectorised emulator of the power-flow solver to reduce the computational efforts. The resilience stochastic modelling framework is embedded into a non-intrusive generalised stochastic framework, which enables the analyst to quantify the effect of parameters imprecision. A modified version of the IEEE 24 nodes reliability test system has been used as representative case study. The surrogate-based model and the Power-Flow-based model are compared, and the results show similar accuracy but enhanced efficiency of the former. Global sensitivity of the resilience index to increasing imprecision in parameters of the probabilistic model has been analysed. The relevance of specific weather/grid uncertain factors is highlighted by global sensitivity analysis and the importance of dealing with imprecision in the information clearly emerges.

    Creators(s): Rocchetta, Roberto, Zio, Enrico and Patelli, Edoardo ORCID logoORCID: https://orcid.org/0000-0002-5007-7247;
    Item type:Article
    ID code:72118
    Keywords:artificial neural network, credal sets, global sensitivity, load curtailing, power grids, resilience, severe weather, Electrical engineering. Electronics Nuclear engineering, Building and Construction, Energy(all), Mechanical Engineering, Management, Monitoring, Policy and Law
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Civil and Environmental Engineering
    Depositing user: Pure Administrator
    Date deposited:21 Apr 2020 11:55
    Last modified:04 Jun 2020 01:26
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/72118
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