A Redundancy Optimization Model Applied to Offshore Wind Turbine Power Converters
Paper in proceedings, 2013

Unexpected failures, high operation and maintenance (O&M) cost, and low accessibility are critical issues for offshore wind farms. According to existing statistics, power converters are among the most critical components in offshore wind turbines, and suffer from a high failure rate. One efficient way to improve the reliability and availability of the converter system is by adding at least one independent redundant converter, which ensures that the system would still operate in case of a converter failure. However, the redundant converters will increase the system’s cost, volume, and weight. In this paper, we propose a cost-rate minimization model aiming to simultaneously determine the optimal allocation of redundant converters and the optimal number of the converters that are allowed to fail before sending a maintenance crew to the offshore platform. The optimal solution under system-level constraints is derived, and the conditions required to make using redundant converter system beneficial are discussed. Finally, the proposed model has been tested on data collected from an offshore wind farm database and the results are compared with a conventional wind turbine converter system.

Maintenance

Offshore wind turbine

Reliability

Redundancy optimization

Power converter

Author

Mahmood Shafiee

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Michael Patriksson

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Ann-Brith Strömberg

Chalmers, Mathematical Sciences, Mathematics

University of Gothenburg

Lina Bertling

Chalmers, Energy and Environment, Electric Power Engineering

PowerTech (POWERTECH), 2013 IEEE Grenoble

8article no 6652427)-

Driving Forces

Sustainable development

Subject Categories

Computational Mathematics

Reliability and Maintenance

Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Energy

DOI

10.1109/PTC.2013.6652427

ISBN

978-1-4673-5669-5

More information

Latest update

11/5/2018