A stochastic model for opportunistic maintenance planning of offshore wind farms
Paper in proceedings, 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

stochastic optimization

Maintenance optimization

opportunistic maintenance

Author

Francois Besnard

Chalmers, Energy and Environment, Electric Power Engineering

Michael Patriksson

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Ann-Brith Strömberg

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Adam Wojciechowski

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Katharina Fischer

Chalmers, Energy and Environment, Electric Power Engineering

Lina Bertling

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

Driving Forces

Sustainable development

Subject Categories

Computational Mathematics

Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Energy

DOI

10.1109/PTC.2011.6019376

ISBN

978-142448419-5

More information

Latest update

11/5/2018