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Energies 2017, 10(3), 313; doi:10.3390/en10030313

Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System

1
Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain
2
Electric Power and Energy Systems Department, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden
*
Author to whom correspondence should be addressed.
Academic Editors: Pierluigi Siano and Miadreza Shafie-khah
Received: 21 December 2016 / Accepted: 1 March 2017 / Published: 6 March 2017
(This article belongs to the Special Issue Innovative Methods for Smart Grids Planning and Management)
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Abstract

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. View Full-Text
Keywords: bi-level optimization; maintenance scheduling; deregulated power system; offshore wind farm bi-level optimization; maintenance scheduling; deregulated power system; offshore wind farm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mazidi, P.; Tohidi, Y.; Sanz-Bobi, M.A. Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System. Energies 2017, 10, 313.

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