Failure Mode Effects and Analysis of Superconducting Power Distribution and Related Cryogenic Components for All-Electric Ship

Telikapalli, Srikar; James, Stright,; Cheetham, Peter; Kim, Chul Han; Pamidi, Sastry

doi:10.1109/tasc.2023.3243562

Cited by 7 publications

(1 citation statement)

References 37 publications

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“…[19] conducted a risk assessment of network-caused related power system failures. On the basis of the synthesis of the aforementioned literature, it is possible to conclude that the applicability of the aforementioned achievements in identifying power system risk assessment is limited [20,21]. In order to expand the universal applicability of extant strategies for power system risk assessment when dealing with diverse power system models, additional research and analysis are required.…”

Section: Introductionmentioning

confidence: 99%

Power system risk assessment strategy based on weighted comprehensive allocation and improved BP neural network

Xiao,

Jiang,

Liang

et al. 2023

The Journal of Engineering

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During the operation and maintenance of the power system, power outages and supply‐demand imbalances can disrupt the normal power supply process. This issue must be mitigated or even resolved through the implementation of an appropriate power system risk warning. The article proposes a self‐assessment and early warning strategy for power system hazards based on an enhanced ant colony optimization algorithm (IACO) and a BP neural network. First, a combination of the Analytic Hierarchy Process (AHP) and the Entropy Weighting Method (EWM) is used to assign weights comprehensively to indicators that have a significant impact on the stability and safety of power system operation, thereby avoiding the negative impact of subjective experience or objective factors on the weight allocation results. Secondly, multiple regression analysis is used to calculate the risk assessment results of the selected indicators and weights corresponding to the power system. Training and testing samples for the BP neural network were calculated based on the weight allocation procedure described previously. Then, IACO is employed to global optimize the weights and thresholds of the BP neural network, and an enhanced BP neural network model for independent power system risk assessment is developed. The designed risk assessment and warning strategy was finally evaluated. The results indicate that the proposed power system risk assessment and early warning method can precisely predict the actual operating status of the power system based on weight values, thereby enhancing power supply quality by providing technical personnel with a data reference.

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Section: Introductionmentioning

confidence: 99%

Power system risk assessment strategy based on weighted comprehensive allocation and improved BP neural network

Xiao,

Jiang,

Liang

et al. 2023

The Journal of Engineering

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A detailed review of power system resilience enhancement pillars

Mishra,

Eskandari,

Abbasi

et al. 2024

Electric Power Systems Research

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Performance enhancements of HTS power cables by minimizing the electric field enhancements for electric transport applications

Mullings,

Mensah,

Das

et al. 2024

Supercond. Sci. Technol.

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Design innovations to manage the electric field enhancements and successful use of cryogenic epoxy EP37 as electrical insulation for high temperature superconducting (HTS) cables for electric aircraft applications are reported. Detailed finite element analysis (FEA) of the electric field distribution shows that the highest electric field is at the interface of the ground and electrical insulation layers. The FEA led to the design, fabrication, and experimental characterization of four model cables with stress cones and a direct bond of the ground and insulation layers. Enhanced partial discharge inception voltage (PDIV) was achieved in the model cables by minimizing the electric field enhancements at the ground layer interface. Using a helium gas mixture with 4 mol% H2, with higher intrinsic dielectric strength than pure helium, further enhanced the PDIV. The results warrant further studies on long HTS cables with EP37 as electrical insulation with a direct bond between the insulation and ground layers.

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Failure Mode Effects and Analysis of Superconducting Power Distribution and Related Cryogenic Components for All-Electric Ship

Cited by 7 publications

References 37 publications

Power system risk assessment strategy based on weighted comprehensive allocation and improved BP neural network

Power system risk assessment strategy based on weighted comprehensive allocation and improved BP neural network

A detailed review of power system resilience enhancement pillars

Performance enhancements of HTS power cables by minimizing the electric field enhancements for electric transport applications

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