Integrated Optimization of Condition-Based Maintenance and Spare Parts Management for Offshore Wind Turbines

Luna ZHANG; Hongfen TANG; Shuxiang ZHANG; Nan YIN; Xing&apos;an ZHAO

doi:10.16513/j.2096-2185.DE.2106532

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(1460 KB)

Distributed Energy ›› 2021, Vol. 6 ›› Issue (5) : 44-50. DOI: 10.16513/j.2096-2185.DE.2106532

Offshore Wind Power

Integrated Optimization of Condition-Based Maintenance and Spare Parts Management for Offshore Wind Turbines

Author information +

History +

Abstract

Maintenance activities of offshore wind turbines are usually centralized due to the severe weather and expensive sailing cost, which puts forward higher requirements for the spare parts inventory management of offshore wind turbine components. Based on this problem, this paper presents an integrated model for condition-based maintenance and spare parts management. It significantly reduces the failure time of the wind turbine and reduces the shutdown loss. Taking the inspection cycle of offshore wind turbine, the maintenance threshold of components, the reorder point and the order quantity of spare parts as the joint decision variables, a mathematical model with the objective of minimization of cost rate is established. Due to the high complexity resulting from random variables as well as coupling relationship between maintenance and spare parts management, Monte Carlo simulation algorithm is designed to estimate the objective value of the model. Finally, the simulation based sensitive analysis experiment shows the effectiveness of the proposed model and algorithm.

Key words

offshore wind turbine / condition-based maintenance / spare parts management / integrated optimization / Monte Carlo simulation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Luna ZHANG , Hongfen TANG , Shuxiang ZHANG , et al . Integrated Optimization of Condition-Based Maintenance and Spare Parts Management for Offshore Wind Turbines[J]. Distributed Energy Resources. 2021, 6(5): 44-50 https://doi.org/10.16513/j.2096-2185.DE.2106532

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	SHENG Z, YU W, ZHOU Y, et al. Roles of wind and solar energy in China's power sector: Implications of intermittency constraints[J]. Applied Energy, 2018, 213: 22-30. Cited in this article [1]

[2]	CUI M, ZHANG J, FENG C, et al. Characterizing and analyzing ramping events in wind power, solar power, load, and netload[J]. Renewable Energy, 2017, 111: 227-244. Cited in this article [1]

[3]	PRASAD A A, TAYLOR R A, KAY M. Assessment of solar and wind resource synergy in Australia[J]. Applied Energy, 2017, 190: 354-367. Cited in this article [1]

[4]	HAN S, ZHANG L, LIU Y, et al. Quantitative evaluation method for the complementarity of wind-solar-hydro power and optimization of wind-solar ratio[J]. Applied Energy, 2019, 236: 973-984. Cited in this article [1]

[5]	HAN S, ZHANG L, LIU Y, et al. A data sample division method for wind power prediction based on China's 24 solar terms[J]. International Transactions on Electrical Energy Systems, 2020, 30(7): 12342-12366. Cited in this article [1]

[6]	刘桢，俞炅旻，黄德财，等. 海上风电发展研究[J]. 船舶工程，2020, 42(8): 20-25. Cited in this article [1]

[7]	ZHOU P, YIN P T. An opportunistic condition-based maintenance strategy for offshore wind farm based on predictive analytics[J]. Renewable and Sustainable Energy Reviews, 2019, 109: 1-9. Cited in this article [1]

[8]	卢启付，余超耘，王红星，等. 中国海上风电检测与认证标准体系研究[J]. 广东电力，2020, 30(3): 1-6. LU Qifu, YU Chaoyun, WANG Hongxing, et al. Offshore wind power testing and certification standard system in China[J]. Guangdong Electric Power, 2020, 30(3): 1-6. Cited in this article [1]

[9]	LIU X, LI J R, AL-KHALIFA K N, et al. Condition-based maintenance for continuously monitored degrading systems with multiple failure modes[J]. IIE Transactions, 2013, 45(4): 422-435. Cited in this article [1]

[10]	吕伟，谈宏志，金礼伟，等. 海上风场运维调度问题的研究[J]. 机械制造，2017, 55(4): 88-90, 94. Cited in this article [1]

[11]	郑小霞，赵华，刘璐洁. 考虑可及性的海上风机综合维护策略[J]. 电网技术，2014, 38(11): 3030-3036. ZHENG Xiaoxia, ZHAO Hua, LIU Lujie, et al. A combined maintenance strategy for offshore wind turbine considering accessibility[J]. Power System Technology, 2014, 38(11): 3030-3036. Cited in this article [1]

[12]

赵洪山，张健平，程亮亮等. 考虑不完全维修的风电机组状态－机会维修策略[J]. 中国电机工程学报，2016, 36(3): 701-708.

ZHAO

Hongshan

, ZHANG

Jianping

, CHENG

Liangliang

, et al. A condition based opportunistic maintenance strategy for wind turbine under imperfect maintenance[J]. Proceedings of the CSEE, 2016, 36(3): 701-708.

Cited in this article [1]

[13]	ALBERT H S, EVRIM U, IRIS F A V. Mixed integer programming models for planning maintenance at offshore wind farms under uncertainty[J]. Transportation Research Part C: Emerging Technologies, 2020, 112: 180-202. Cited in this article [1]

[14]	ZHANG B, ZHANG Z. A two-stage model for asynchronously scheduling offshore wind farm maintenance tasks and power productions[J]. International Journal of Electrical Power & Energy Systems, 2021, 130: 1-11. Cited in this article [1]

[15]	KANG J, SOARES C G. An opportunistic maintenance policy for offshore wind farms[J]. Ocean Engineering, 2020, 216:1-9. Cited in this article [1]

[16]	SONG S, LI Q, FELDER F A, et al. Integrated optimization of offshore wind farm layout design and turbine opportunistic condition-based maintenance[J]. Computers & Industrial Engineering, 2018, 120: 288-297. Cited in this article [1]