LAPSE:2019.1412v1
Published Article
LAPSE:2019.1412v1
Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System
December 10, 2019
This paper proposes a model for strategic maintenance scheduling of offshore wind farms (SMSOWF) in a deregulated power system. The objective of the model is to plan the maintenance schedules in a way to maximize the profit of the offshore wind farm. In addition, some network constraints, such as transmission lines capacity, and wind farm constraints, such as labor working shift, wave height limit and wake effect, as well as unexpected outages, are included in deterministic and stochastic studies. Moreover, the proposedmodel provides theability to incorporate information from condition monitoring systems. SMSOWF is formulated through a bi-level formulation and then transformed into a single-level through Karush⁻Kuhn⁻Tucker conditions. The model is validated through a test system, and the results demonstrate applicability, advantages and challenges of harnessing the full potential of the model.
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Keywords
bi-level optimization, deregulated power system, maintenance scheduling, offshore wind farm
Subject
Suggested Citation
Mazidi P, Tohidi Y, Sanz-Bobi MA. Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System. (2019). LAPSE:2019.1412v1
Author Affiliations
Mazidi P: Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain; Electric Power and Energy Systems Department, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden
Tohidi Y: Electric Power and Energy Systems Department, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden
Sanz-Bobi MA: Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain [ORCID]
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Tohidi Y: Electric Power and Energy Systems Department, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden
Sanz-Bobi MA: Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain [ORCID]
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Journal Name
Energies
Volume
10
Issue
3
Article Number
E313
Year
2017
Publication Date
2017-03-06
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en10030313, Publication Type: Journal Article
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Published Article
LAPSE:2019.1412v1
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External Link
doi:10.3390/en10030313
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Version History
[v1] (Original Submission)
Dec 10, 2019
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Dec 10, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1412v1
Original Submitter
Calvin Tsay
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