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

Peyman Mazidi, Yaser Tohidi and Miguel A. Sanz-Bobi
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Peyman Mazidi: Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain
Yaser Tohidi: Electric Power and Energy Systems Department, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden
Miguel A. Sanz-Bobi: Institute for Research in Technology (IIT), Comillas Pontifical University, 28015 Madrid, Spain

Energies, 2017, vol. 10, issue 3, 1-20

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 pro?t 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.

Keywords: bi-level optimization; maintenance scheduling; deregulated power system; offshore wind farm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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