Optimization of periodic maintenance for wind turbines based on stochastic degradation model

• Autorzy: Su Hongsheng , Duan Xuping , Wang Dantong

Identyfikatory

DOI

10.24425/aee.2021.137575

• Języki publikacji: EN

Abstrakty

EN

The degradation process of wind turbines is greatly affected by external factors. Wind turbine maintenance costs are high. The regular maintenance of wind turbines can easily lead to over and insufficient maintenance. To solve the above problems, a stochastic degradation model (SDE, stochastic differential equation) is proposed to simulate the change of the state of the wind turbine. First, the average degradation trend is obtained by analyzing the properties of the stochastic degradation model. Then the average degradation model is used to describe the predictive degradation model. Then analyze the change trend between the actual degradation state and the predicted state of the wind turbine. Secondly, according to the update process theory, the effect of maintenance on the state of wind turbines is comprehensively analyzed to obtain the availability. Then based on the average degradation process, the optimal maintenance period of the wind turbine is obtained. The optimal maintenance time of wind turbines is obtained by optimizing the maintenance cycle through availability constraints. Finally, an onshore wind turbine is used as an example to verification. Based on the historical fault data of wind turbines, the optimized maintenance decision is obtained by analyzing the reliability and maintenance cost of wind turbines under periodic and non-equal cycle conditions. The research results show that maintenance based on this model can effectively improve the performance of wind turbines and reduce maintenance costs.

Słowa kluczowe

EN

availability; maintenance optimization; stochastic diferential equation; update process; wind turbine

PL

dostępność; optymalizacja konserwacji; stochastyczne równanie różniczkowe; proces aktualizacji; turbina wiatrowa

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2021
• Tom: Vol. 70, nr 3
• Strony: 585--599
• Opis fizyczny: Bibliogr. 21 poz., tab., wz.

Twórcy

autor

Su Hongsheng

• Lanzhou Jiaotong University, China

• https://orcid.org/0000-0003-4126-4582

autor

Duan Xuping

• Lanzhou Jiaotong University, China

autor

Wang Dantong

• Lanzhou Jiaotong University, China

Bibliografia

• [1] Tchakoua P., Wamkeue R., Ouhrouche M. et al., Wind turbine condition monitoring: state-of-the-art review, new trends, and future challenges, Energies, vol. 7, no. 4, pp. 2595–2630 (2014).
• [2] Su C., Hu Z.Y., Reliability assessment for Chinese domestic wind turbines based on data mining techniques, Wind Energy, vol. 21, no. 3, pp. 198–209 (2018).
• [3] Zhao Hongshan, Zhang Jianping, Gao Duo et al., A condition based opportunistic maintenance strategy for wind turbine, Proceedings of the CSEE, vol. 35, no. 15, pp. 3851–3858 (2015).
• [4] Cheng Yujing, Optimization maintenance research of wind turbines pitch system based on opportunistic maintenance strategy, Shanghai, Shang Hai Dianji University (2013).
• [5] Li Hui, Yang Chao, Li Xuewei et al., Conditions characteristic parameters mining and outlier identification for electric pitch system of wind turbine, Proceedings of the CSEE, vol. 34, no. 12, pp. 1922–1930 (2014).
• [6] Besnard F., Bertling L., An approach for condition-based maintenance optimization applied to wind turbine blades, IEEE Transactions on Sustainable Energy, vol. 1, no. 2, pp. 77–83 (2010).
• [7] Liu Lujie, Fu Yang, Ma Shiwei et al., Maintenance strategy for offshore wind turbine based on condition monitoring and prediction, Power System Technology, vol. 39, no. 11, pp. 3292–3297 (2015).
• [8] Suprasad V., Amari Leland Mclaughlin, Hoang Pham, Cost-effective condition-based maintenance using Markov decision processes, Reliability and Maintainability Symposium, pp. 464–469 (2006).
• [9] Zhao Hongshan, Zhang Jianping, Gao Duo et al., A condition based opportunistic maintenance strategy for wind turbine under imperfect maintenance, Proceedings of the CSEE, vol. 36, no. 3, pp. 3851–3858 (2016).
• [10] Li Dazi, Feng Yuanyuan, Liu Zhan et al., Reliability modeling and maintenance strategy optimization for wind power generation sets, Power System Technology, vol. 35, no. 9, pp. 122–127 (2011).
• [11] Fu Yang, Xu Weixin, Liu Lujie et al., Optimization of preventive opportunistic maintenance strategy for offshore wind turbine considering weather conditions, Proceedings of the CSEE, vol. 38, no. 20, pp. 5947–5956 (2018).
• [12] Tian Z., Jin T., Wu B. et al., Condition based maintenance optimization for wind power generation systems under continuous monitoring, Renewable Energy, vol. 36, no. 5, pp. 1502–1509 (2011).
• [13] Yildirim M., Gebraeel N., Sun X., Integrated Predictive Analytics and Optimization for Opportunistic Maintenance and Operations in Wind Farms, IEEE Transactions on Power Systems, pp. 4319–4328 (2017).
• [14] Elwany A.H., Gebraeel N.Z., Sensor-driven prognostic models for equipment replacement and spare parts inventory, IIE Transactions, vol. 40, no. 7, pp. 629–639 (2008).
• [15] Liu Haiqing, Lin Weijian, Li Yuancheng, Ultra-short-term wind power prediction based on copula function and bivariate EMD decomposition algorithm, Archives of Electrical Engineering, vol. 69, no. 2, pp. 271–286 (2020).
• [16] Wang Shaohua, Zhang Yaohui et al., Optimal condition-based maintenance decision-making method of multi-component system based on simulation, Acta Armamentarii, vol. 38, no. 3, pp. 568–575 (2017).
• [17] Liu Junqiang, Xie Jianwei et al., Residual lifetime prediction for aeroengines based on wiener process with random effect, Acta Aeronautica et Astronautica Sinica, vol. 36, no. 2, pp. 564–574 (2015).
• [18] Palmer T.N., A nonlinear dynamical perspective on model error; A proposal for non-local stochastic-dynamic parametrization in weather and climate prediction models, Quarterly Journal of the Royal Meteorological Society, vol. 127, no. 572, pp. 279–304 (2010).
• [19] Gong Guanglu, Qian Minping, Application of stochastic process tutorial and its stochastic models in algorithms and intelligent computing, Beijing, Tsinghua University Press (2004).
• [20] Rausand M., System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition, Statistical methods in reliability theory and practice, E. Horwood (2004).
• [21] Su Hongsheng, Control strategy on preventive maintenance of repairable device, Journal of Zhejiang University (Engineering Science), vol. 44, no. 7, pp. 1308–1314 (2010).

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).