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.
Palabras Clave: bi-level optimization; maintenance scheduling; deregulated power system; offshore wind farm
Índice de impacto JCR y cuartil WoS: 2.676 - Q3 (2017); 3.004 - Q3 (2020)
Referencia DOI: 10.3390/en10030313
Publicado en papel: Marzo 2017.
Publicado on-line: Marzo 2017.
P. Mazidi, Y. Tohidi, M.A. Sanz-Bobi. Strategic maintenance scheduling of an offshore wind farm in a deregulated power system. Energies. Vol. 10, nº. 3, pp. 313-1 - 313-20 Marzo 2017. [Online: Marzo 2017]