Optimal Redundancy and Maintenance Strategy Decisions for Offshore Wind Power Converters
Abstract
Analysis of field failure data collected from various wind farm databases indicates that the power converters are among the most critical components in offshore wind turbines, since they suffer from a high failure rate. One efficient approach to enhance the reliability and availability of the wind power systems is through using a redundant converter design, in which a set of power converters is placed together in parallel. The main advantage of a multiple parallel converter system is that the failure of one converter will not necessarily lead to the failure of the entire system. It may however increase the wind turbine's acquisition cost, volume, and weight. In this paper, we propose an approach of joint redundancy and maintenance strategy optimization for offshore wind power converters, aiming to simultaneously determine the "optimal allocation of redundant converters" and the "optimal threshold number of converters that are allowed to fail before sending a maintenance crew to the offshore platform". The optimal solution under various system-level constraints (such as reliability, weight, and the available space in nacelle) is derived and the conditions required to make using a redundant system beneficial are discussed. The proposed design is applied to an offshore wind turbine system and its performance is evaluated using a Monte-Carlo simulation technique. Finally, the results are compared with the conventional power converter system and a sensitivity analysis is conducted in order to make the proposed approach applicable for the next generation of wind turbines.
References
- Renewable UK, Available at http://www.renewableuk.com/en/renewable-energy/wind-energy/offshore-wind/(accessed on 7 May 2015) . Google Scholar
- European Wind Energy Association (EWEA), The European offshore wind industry — key trends and statistics (2014), Available at http://www.ewea.org . Google Scholar
- Renew. Energy 77 , 182 ( 2015 ) . Crossref, Web of Science, Google Scholar
- IEEE Trans. Energy Convers. 27(1), 184 (2012). Crossref, Web of Science, Google Scholar
- Eur. J. Oper. Res. 229(3), 561 (2013). Crossref, Web of Science, Google Scholar
M. Shafiee , A redundancy optimization model applied to offshore wind turbine power converters, IEEE PowerTech Conf. (2013) pp. 1–6. Google Scholar- IEEE Trans. Reliab. 59(2), 393 (2010). Crossref, Web of Science, Google Scholar
- IEEE Trans. Power Syst. 25(4), 1823 (2010). Crossref, Web of Science, Google Scholar
- Renew. Energy 36 , 1502 ( 2011 ) . Crossref, Web of Science, Google Scholar
- Reliab. Eng. Syst. Saf. 96 , 218 ( 2011 ) . Crossref, Web of Science, Google Scholar
- Int. J. Reliab., Qual. Saf. Eng. 18(5), 463 (2011). Link, Google Scholar
- Proc. Inst. Mech. Eng. O, J. Risk Reliab. 226(6), 584 (2012). Web of Science, Google Scholar
- Adv. Oper. Res. ( 2013 ) , DOI: 10.1155/2013/205847 . Google Scholar
- IEEE Trans. Sustain. Energy 4(2), 443 (2013). Crossref, Web of Science, Google Scholar
- Math. Comput. Model. 57 , 1884 ( 2013 ) . Crossref, Web of Science, Google Scholar
- Reliab. Eng. Syst. Saf. 134 , 230 ( 2015 ) . Crossref, Web of Science, Google Scholar
- M. Shafiee, M. Finkelstein and C. Bérenguer, An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks, Reliab. Eng. Syst. Saf., http://dx.doi.org/10.1016/j.ress.2015.05.001 . Google Scholar
R.-D. Klug and M. Griggs , Reliability and availability of megawatt drive concepts, Proc. Int. Conf. Power System Technology (PowerCon) (2004) pp. 665–671. Google ScholarP. J. Tavner , G. J. W. van Bussel and F. Spinato , Machine and converter reliabilities in wind turbines, Proc. 3rd IET Int. Conf. Power Electronics, Machine & Drives (2006) pp. 127–130. Google Scholar- IEEE Trans. Energy Convers. 22(1), 167 (2007). Crossref, Web of Science, Google Scholar
J. Birk and B. Andresen , Parallel-connected converters for optimizing efficiency, reliability and grid harmonics in a wind turbine, Proc. 12th European Conf. Power Electronics and Applications (2007) pp. 1–7. Google Scholar- IEEE Trans. Power Electron. 23(3), 1062 (2008). Crossref, Web of Science, Google Scholar
- IET Renew. Power Gen. 3(4), 387 (2009). Crossref, Web of Science, Google Scholar
P. Zhu , Offshore wind converter reliability evaluation, Proc. 8th Int. Conf. Power Electronics — ECCE Asia (2011) pp. 966–971. Google ScholarF. Blaabjerg , M. Liserre and K. Ma , Power electronics converters for wind turbine systems, Proc. IEEE 3rd Energy Conversion Congress and Exposition (ECCE) (2011) pp. 281–290. Google Scholar- IEEE Trans. Energy Convers. 27(1), 96 (2012). Crossref, Web of Science, Google Scholar
- Microelectron. Reliab. 52(10), 2403 (2012). Crossref, Web of Science, Google Scholar
- Comput. & Ind. Eng. 57(1), 169 (2009). Crossref, Web of Science, Google Scholar
- Reliab. Eng. Syst. Saf. 94(10), 1568 (2009). Crossref, Web of Science, Google Scholar
- J. Comput. Appl. Math. 232(2), 539 (2009). Crossref, Web of Science, Google Scholar
- IEEE Trans. Reliab. 55(3), 551 (2006). Crossref, Web of Science, Google Scholar
- Reliab. Eng. Syst. Saf. 91(1), 1057 (2006). Crossref, Web of Science, Google Scholar
- IEEE Trans. Reliab. 40(1), 81 (1991). Crossref, Web of Science, Google Scholar
- Comput. Oper. Res. 38(11), 1465 (2011). Crossref, Web of Science, Google Scholar
- Appl. Math. Comput. 182(2), 1556 (2006). Crossref, Web of Science, Google Scholar
- Eur. J. Oper. Res. 94(3), 425 (1996). Crossref, Web of Science, Google Scholar
- F. F. Ding, Comparative study of maintenance strategies for wind turbine systems, M.Sc. Thesis, Concordia University, Canada (2010) . Google Scholar
-
S. M. Ross , Applied Probability Models with Optimization Applications ( Holden-Day , San Francisco, CA, USA , 1970 ) . Google Scholar - A. Karyotakis, On the optimization of operation and maintenance strategies for offshore wind farms, Ph.D. Thesis, Department of Mechanical Engineering, University College London (2011) . Google Scholar
-
E. Zio , The Monte Carlo Simulation Method for System Reliability and Risk Analysis ( Springer , London , 2013 ) . Crossref, Google Scholar - Energies 7(2), 619 (2014). Crossref, Web of Science, Google Scholar