2021
DOI: 10.1016/j.rser.2020.110639
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An integrated optimization framework for multi-component predictive analytics in wind farm operations & maintenance

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Cited by 27 publications
(12 citation statements)
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“…This maintenance strategy can provide the predicted alarm data to the maintenance personnel, so that the maintenance personnel can arrange the maintenance work in advance [185]. The technology often used in this maintenance strategy is anomaly analysis [186], support vector machine [187], hybrid structured multicriteria decision-making method based on fuzzy Delphi [188], multicomponent condition based opportunistic maintenance and operations model [189], etc. For equipment with low failure frequency and small failure impact, a periodic maintenance strategy is often formulated based on reliability data [190].…”
Section: Energy Industriesmentioning
confidence: 99%
“…This maintenance strategy can provide the predicted alarm data to the maintenance personnel, so that the maintenance personnel can arrange the maintenance work in advance [185]. The technology often used in this maintenance strategy is anomaly analysis [186], support vector machine [187], hybrid structured multicriteria decision-making method based on fuzzy Delphi [188], multicomponent condition based opportunistic maintenance and operations model [189], etc. For equipment with low failure frequency and small failure impact, a periodic maintenance strategy is often formulated based on reliability data [190].…”
Section: Energy Industriesmentioning
confidence: 99%
“…Among the studies that consider the interplay of generation and storage, a number of papers have a special focus on electricity production via wind energy (Qi et al 2015, Zhou et al 2016, Wu and Babich 2012, Bakir et al 2021. For an overview of these papers, we refer to the work of Weitzel and Glock (2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Existing models in prognostics-based maintenance of wind farms typically focus on single-turbine systems with limited applicability to multi-turbine settings [28,29], or rule-based opportunistic maintenance models that initiate maintenance actions for turbines when their degradation reaches a certain level of severity [30]. In recent years, there has been a growing literature in energy systems [31][32][33] and wind farm applications [34,35] that uses prognosticsbased costs to coordinate operations and maintenance decisions. They typically use a maintenance cost function to connect remaining life distribution to its corresponding maintenance cost values in the optimization model.…”
Section: Introductionmentioning
confidence: 99%
“…They typically use a maintenance cost function to connect remaining life distribution to its corresponding maintenance cost values in the optimization model. These approaches are either deterministic [34,35], or stochastic models with only operational uncertainty (i.e., demand, generation) [33]. To date, wind farm O&M optimization models have not captured the uncertainty and risks associated with turbine remaining life distributions on fleet-level maintenance, operations and availability in large scale wind farms.…”
Section: Introductionmentioning
confidence: 99%