A stochastic model for opportunistic maintenance planning of offshore wind farms
Paper i proceeding, 2011

A sound maintenance planning is of crucial importance for wind power farms, and especially for offshore locations. This paper presents a stochastic optimization model for opportunistic service maintenance of offshore wind farms. The model takes advantage of 7 days wind production ensemble forecast and opportunities at corrective maintenance activities in order to perform the service maintenance tasks at the lowest cost. The model is based on a rolling horizon, i.e. the optimization is performed on a daily basis to update the maintenance planning based on the updated production and weather forecasts. An example based on real wind data is used to demonstrate the value of the proposed approach. In this example, it is shown that 32% of the cost for production losses and transportation could be saved. © 2011 IEEE.

offshore wind power

opportunistic maintenance

stochastic optimization

Maintenance optimization

Författare

Francois Besnard

Chalmers, Energi och miljö, Elkraftteknik

Michael Patriksson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Ann-Brith Strömberg

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

Adam Wojciechowski

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Katharina Fischer

Chalmers, Energi och miljö, Elkraftteknik

Lina Bertling Tjernberg

Chalmers, Energi och miljö, Elkraftteknik

2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011; Trondheim; 19 June 2011 through 23 June 2011

6019376

Drivkrafter

Hållbar utveckling

Ämneskategorier

Beräkningsmatematik

Elektroteknik och elektronik

Styrkeområden

Energi

DOI

10.1109/PTC.2011.6019376

ISBN

978-142448419-5

Mer information

Skapat

2017-10-08