A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles

Ali-Mohammad Hariri, Hamed Hashemi-Dezaki and Maryam A. Hejazi

Reliability Engineering and System Safety, 2020, vol. 196, issue C

Abstract: Because of the importance of smart grids reliability, various stochastic-based simulation methodologies e.g. Monte Carlo simulation (MCS) have been developed. In contrast, the much less effort has been devoted in literature to develop the generalized analytical ones. In this paper, a new generalized analytical methodology is developed for smart grids’ reliability assessment. The main contributions of this article are proposing a new state matrix (S-matrix) method including the novel model for investigating the smart grid operating modes by using the segmentation concepts and graph theory; developing a new comprehensive model of PHEVs considering the all their uncertainties; and introduction of a novel integrating methodology of separate elements.

Keywords: Reliability evaluation; Uncertainty; Smart grid; Generalized analytical method; Renewable and non-renewable distributed generation (DG); Plug-in hybrid electric vehicle (PHEV); Well-being assessment (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:196:y:2020:i:c:s0951832019300286

DOI: 10.1016/j.ress.2019.106746

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