Multi-component opportunistic maintenance optimization for wind turbines with consideration of seasonal factor

Abstract

Aiming at wind turbines, the opportunistic maintenance optimization is carried out for multi-component system, where minimal repair, imperfect repair, replacement as well as their effects on component’s effective age are considered. At each inspection point, appropriate maintenance mode is selected according to the component’s effective age and its maintenance threshold. To utilize the maintenance opportunities for the components among the wind turbines, opportunistic maintenance approach is adopted. Meanwhile, the influence of seasonal factor on the component’s failure rate and improvement factor’s decrease with the increase of repair’s times are also taken into account. The maintenance threshold is set as the decision variable, and an opportunistic maintenance optimization model is proposed to minimize wind turbine’s life-cycle maintenance cost. Moreover, genetic algorithm is adopted to solve the model, and the effectiveness is verified with a case study. The results show that based on the component’s inherent reliability and maintainability, the proposed model can provide optimal maintenance plans accordingly. Furthermore, the higher the component’s reliability and maintainability are, the less the times of repair and replacement will be.

Keywords

wind turbine / reliability / seasonal factor / multi-component maintenance / opportunistic maintenance

References

[1] SahuB K. Wind energy developments and policies in China: A short review. Renewable & Sustainable Energy Reviews, 2018, 81(1): 1343-1405

[2] MárquezF P G, TobiasA M, PérezJ M P, PapaeliasM. Condition monitoring of wind turbines: Techniques and methods. Renewable Energy, 2012, 46: 169-178

[3] GuoJ-f, RuiZ-y, FengR-c, WeiX-chun. Imperfect preventive maintenance for numerical control machine tools with log-linear virtual age process. Journal of Central South University, 2014, 21(12): 4497-4502

[4] LiuF-m, ZhuH-p, LiuB-xing. Maintenance decision-making method for manufacturing system based on cost and arithmetic reduction of intensity model. Journal of Central South University, 2013, 20(6): 1559-1571

[5] FangY-t, LiuB-you. Preventive repair policy and replacement policy of repairable system taking non-zero preventive repair time. Journal of Zhejiang University-Science A, 2016, 7(2): 207-212

[6] NilssonJ, BertlingL. Maintenance management of wind power systems using condition monitoring systems life cycle cost analysis for two case studies. IEEE Transactions on Energy Conversion, 2007, 22(1): 223-229

[7] SørensenJ D. Framework for risk-based planning of operation and maintenance for offshore wind turbines. Wind Energy, 2009, 12(5): 493-506

[8] JoshiD R, JangamshettiS H. A novel method to estimate the O&M costs for the financial planning of the wind power projects based on wind speed—A case study. IEEE Transactions on Energy Conversion, 2010, 25(2): 161-167

[9] SinhaY, SteelJ A. A progressive study into offshore wind farm maintenance optimisation using risk based failure analysis. Renewable & Sustainable Energy Reviews, 2015, 42: 735-742

[10] SantosF P, TeixeiraA P, SoaresC G. Maintenance planning of an offshore wind turbine using stochastic Petri nets with predicates. Journal of Offshore Mechanics and Arctic Engineering, 2018, 140(2): 021904

[11] NguyenT A T, ChouS Y. Maintenance strategy selection for improving cost-effectiveness of offshore wind systems. Energy Conversion and Management, 2018, 157: 86-95

[12] CuiL-r, LiH-jun. Opportunistic maintenance for multi-component shock models. Mathematical Methods of Operations Research, 2006, 63(3): 493-511

[13] SarkerB R, FaizT I. Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy. Renewable Energy, 2016, 85104-113

[14] ZhaoH-s, ZhangJ-p, ChengL-l, LiLang. A condition based opportunistic maintenance strategy for wind turbine under imperfect maintenance. Proceedings of the CSEE, 2016, 36(3): 701-708

[15] LuY, SunL-p, KangJ-c, SunHai. Opportunistic maintenance optimization for offshore wind turbine electrical and electronic system based on rolling horizon approach. Journal of Renewable and Sustainable Energy, 2017, 9(3): 033307

[16] DingF-f, TianZ-gang. Opportunistic maintenance optimization for wind turbine systems considering imperfect maintenance action. International Journal of Reliability, Quality and Safety Engineering, 2011, 185463-481

[17] SuC, ChenWu. Dynamic opportunistic maintenance optimization for wind turbine system based on rolling horizon approach. Journal of Mechanical Engineering, 2014, 50(14): 62-68

[18] ZhangC, GaoW, GuoS, LiY-l, YangTao. Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance. Renewable Energy, 2017, 103: 606-612

[19] TavnerP J, GreenwoodD, WhittleM W G, GindeleR, FaulstichS, HahnB. Study of weather and location effects on wind turbine failure rates. Wind Energy, 2013, 16(2): 175-187

[20] SulaemanS, BenidrisM, MitraJ, SinghC. A wind farm reliability model considering both wind variability and turbine forced outages. IEEE Transactions on Sustainable Energy, 2017, 8(2): 629-637

[21] SuC, JinQ, FuY-qun. Correlation analysis for wind speed and failure rate of wind turbines using time series approach. Journal of Renewable Sustainable Energy, 2012, 4(3): 032301

[22] SuC, FuY-qun. Reliability assessment for wind turbines considering the influence of wind speed using Bayesian network. Eksploatacja i Niezawodnosc–Maintenance and Reliability, 2014, 1611-8

[23] ChenF, LiF-x, WeiZ-n, SongG-q, LiJun. Reliability models of wind farms considering wind speed correlation and WTG outage. Electric Power Systems Research, 2015, 119: 385-392

[24] SuC, HuZ-yong. Reliability assessment for Chinese domestic wind turbines based on data mining techniques. Wind Energy, 2018, 21(3): 198-209

[25] ZhaoY-q, LiangG-qian. Periodic preventive maintenance based on reliability and dynamic maintenance cost. Aeronautical Manufacturing Technology, 20128991

[26] AbdollahzadehH, AtashgarK, AbbasiM. Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups. Renewable Energy, 2016, 88: 247-261

[27] HollandJ HAdaptation in natural and artificial systems, 1975, Cambridge, MA, USA, MIT Press