Power System Generator Coherency Identification for Large Disturbances by Koopman Modes Analysis

Jlassi, Zahra; Kilani, Khadija Ben; Elleuch, M.; Mili, Lamine

doi:10.1007/978-981-15-6403-1_13

Cited by 1 publication

(1 citation statement)

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“…Contemporary advances in offshore wind industry face a number of issues. Starting with physical challenges like new, enlarged generators (Zhang and Zhang 2011, Jlassi et al 2021), innovative energy conversion methods (i.e., Power-to-X Haendel and Elsland 2018;Habibifar, et al 2021)), or new construction materials-ending on virtual problems connected with cyber-security (Kulev, et al 2020) and digital twin approach Nejad 2022, Moghadam et al 2021). One additional aspect is especially important in the case of offshore wind farms (OWFs)-weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Validation of copula-based weather generator for maintenance model of offshore wind farm

Skobiej¹,

Niemi²

2021

WMU J Marit Affairs

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This article discusses the aspect of modeling weather conditions in marine environment for implementation in the offshore wind farm domain. It is clear that harsh sea weather conditions influence many characteristics of any offshore installation. The accessibility to the infrastructure, maintenance procedures, failure ratios of components, energy provision levels, or utilization of vessels—are the examples of weather-related issues connected to the offshore wind industry. Regarding the growing popularity of digital twin methodology, authors present a novel view to generate weather data with copula-based method. The results obtained are compared to selected historical data and implemented into the maintenance model. The selected indicators of maintenance service are used for usability assessment of proposed copula-based method.

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Section: Introductionmentioning

confidence: 99%