A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles. (April 2020)

• Record Type: Journal Article
• Authors: Hariri, Ali-Mohammad; Hashemi-Dezaki, Hamed; A. Hejazi, Maryam
• Is Part Of: Reliability engineering & system safety. Volume 196(2020)
• Publication Date: 2020-04
• Subjects: Reliability evaluation -- Uncertainty -- Smart grid -- Generalized analytical method -- Renewable and non-renewable distributed generation (DG) -- Plug-in hybrid electric vehicle (PHEV) -- Well-being assessment; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2019.106746
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: Mathematical reliability modeling of renewable DG units has been introduced. Mathematical reliability modeling of PHEVs has been proposed. A state matrix-based modeling of smart grid topology has been developed. The new proposed method is validated by Monte Carlo simulation (MCS). The well-being indices are evaluated in addition to conventional reliability ones. 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. The proposed method is applied to the IEEE 33-bus test system. The comparison of test results and those of MCS-based methods and also with other available analytical methods illustrate the accuracy of the proposed method. The sensitivity analyses results imply that the proposed method is not adversely affected due to changes in different uncertain parameters.