A stochastic model for opportunistic maintenance planning of offshore wind farms
Paper in 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
Author
Francois Besnard
Chalmers, Energy and Environment, Electric Power Engineering
Michael Patriksson
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematics
Ann-Brith Strömberg
Chalmers, Mathematical Sciences, Mathematics
University of Gothenburg
Adam Wojciechowski
University of Gothenburg
Chalmers, Mathematical Sciences, Mathematics
Katharina Fischer
Chalmers, Energy and Environment, Electric Power Engineering
Lina Bertling Tjernberg
Chalmers, Energy and Environment, Electric Power Engineering
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011; Trondheim; 19 June 2011 through 23 June 2011
6019376
978-142448419-5 (ISBN)
Driving Forces
Sustainable development
Subject Categories (SSIF 2011)
Computational Mathematics
Electrical Engineering, Electronic Engineering, Information Engineering
Areas of Advance
Energy
DOI
10.1109/PTC.2011.6019376
ISBN
978-142448419-5