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A dynamic and combined maintenance strategy for photovoltaic power plants considering the dependencies and availability of components

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Abstract

Aiming at the problem that the regular maintenance method of the photovoltaic power generation system cannot comprehensively consider the optimization of maintenance cost, availability and profit during the maintenance period. On the basis of considering the operating state of equipment and the influence of weather, a novelly dynamic and combined maintenance model of photovoltaic power plants based on component correlation and availability is proposed. Firstly, an association set is established from the component correlation. The maintenance decision is made with the association set as the basic unit. Then through the improved Markov state transition process, the state of the equipment and the association set is predicted, and its availability is determined. Finally, the maintenance model is established with the lowest maintenance cost and highest availability as the objective function. The model comprehensively considers the influence of component correlation, availability and weather factors on the maintenance strategy. The simulation of matlab proves that the model can effectively reduce maintenance times and maintenance costs. Taking a photovoltaic power station as an example, by setting different scenarios, comparing the model with the regular maintenance model that does not consider correlation, availability and weather factors, the economy and effectiveness of the maintenance model are verified.

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The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Spertino F, Chiodo E, Ciocia A et al (2020) Maintenance activity, reliability, availability and related energy losses in ten operating photovoltaic systems up to 18 MW[J]. IEEE Trans Indus Appl 99:1

    Google Scholar 

  2. Perdue M, Gottschalg R (2015) Energy yields of small grid connected photovoltaic system:effects of component reliability and maintenance[J]. IET Renew Power Gener 9(5):432–437

    Article  Google Scholar 

  3. Dhople SV, Dominguez-Garcia AD (2012) Estimation of photovoltaic system reliability and performance metrics [J]. IEEE Trans Power Syst 27(1):554–563

    Article  Google Scholar 

  4. Colombi Gomes L, Rodrigues Muniz P (2020) "Economic optimization of maintenance against soiling in photovoltaic plants. IEEE Latin Am Trans 18(11):1884–1891. https://doi.org/10.1109/TLA.2020.9398629

    Article  Google Scholar 

  5. Xiaorong Z, Yawei L (2020) Maintenance strategy of photovoltaic power plant based on component-system hierarchical optimization[J]. Autom Electric Power Syst 44(08):92–99

    Google Scholar 

  6. Gunda T et al (2020) A machine learning evaluation of maintenance records for common failure modes in PV inverters. IEEE Access 8:211610–211620. https://doi.org/10.1109/ACCESS.2020.3039182

    Article  Google Scholar 

  7. Catelani M, Ciani L, Galar D et al (2020) Optimizing maintenance policies for a yaw system using reliability centered maintenance and data-driven condition monitoring[J]. IEEE Trans Instrum Measure 99:1

    Google Scholar 

  8. Mengying H, Jianhua Y, Xiao Z (2021) Joint optimization of inspection, maintenance, and spare ordering policy considering defective products loss. J Syst Eng Electron 32(5):1167–1179. https://doi.org/10.23919/JSEE.2021.000100

    Article  Google Scholar 

  9. Mahani K, Liang Z, Parlikad AK et al (2018) Joint optimization of operation and maintenance policies for solar-powered microgrids[J]. IEEE Trans Sustain Energy 10(2):833–842

    Article  Google Scholar 

  10. Sun Y, Sun Z (2021) Selective maintenance on a multi-state transportation system considering maintenance sequence arrangement[J]. IEEE Access 99:1–1

    Google Scholar 

  11. Verbert K, Schutter BD, Babuška R (2017) Timely condition-based maintenance planning for multi-component systems[J]. Reliab Eng Syst Saf 159:310–321

    Article  Google Scholar 

  12. Nguyen KA, Do P, Grall A (2014) Condition based maintenance for multi-component systems using importance measure and predictive information[J]. Int J Syst Sci Op Logist 1(4):228–245

    Google Scholar 

  13. Le MD, Tan CM (2013) Optimal maintenance strategy of deteriorating system under imperfect maintenance and inspection using mixed inspection scheduling [J]. Reliab Eng Syst Saf 113(1):1079–1087

    Google Scholar 

  14. Driessen JPC, Peng H, Van Houtum GJ (2017) Maintenance optimization under non-constant probabilities of imperfect inspections [J]. Reliab Eng Syst Saf 165(9):115–123

    Article  Google Scholar 

  15. Robert A, Neal D, Robert J (2015) Equipment failure characteristics and RCM for optimizing maintenance cost[J]. IEEE Trans Indus Appl 52(2):1257–1264

    Google Scholar 

  16. Hongshan Z, Jianping Z, Liangliang C et al (2016) State of wind turbines considering incomplete maintenance-opportunistic maintenance strategy[J]. Proc Chin Soc Elect Eng 36(03):701–708

    Google Scholar 

  17. Oprea SV, Bara A, Preotescu D et al (2019) Photovoltaic power plants (PV-PP) reliability indicators for improving operation and maintenance activities A case study of PV-PP Agigea located in Romania[J]. IEEE Access 871:1–1

    Google Scholar 

  18. Xu AS, Gebraeel NZ, Yildirim M (2017) Integrated predictive analytics and optimization for wind farm maintenance and operations[J]. IEEE Trans Power Syst 99:1

    Google Scholar 

  19. Wang Q, He Z, Lin S, Liu Y (2018) Availability and maintenance modeling for GIS equipment served in high-speed railway under incomplete maintenance. IEEE Trans Power Deliv 33(5):2143–2151. https://doi.org/10.1109/TPWRD.2017.2762367

    Article  Google Scholar 

  20. Bo Xu, Xueshan Han, Yeyong Li et al (2016) Opportunistic maintenance decision model for power equipment[J]. Proc Chin Soc Elect Eng 36(23):6379–6388

    Google Scholar 

  21. Deng Aopan Hu, Meiyu ZH et al (2017) Power system reliability evaluation considering deterioration and imperfect maintenance of equipment[J]. Power Syst Protect Control 45(3):69–74

    Google Scholar 

  22. Yang Fu, Fan Y, Lujie L, Yi W, Jie P (2019) Preventive maintenance strategy for offshore wind turbine considering component correlation[J]. Power Syst Technol 43(11):4057–4063

    Google Scholar 

  23. Makinde OA, Mpofu K, Ramatsetse BI et al (2018) A maintenance system model for optimal reconfigurable vibrating screen management[J]. J Indus Eng Int 14(02):521–535

    Article  Google Scholar 

  24. Guoqiang J, Wenchuan W, Boming Z et al (2013) A time-varying component outage model for power system condition-based maintenance [J]. Proc Chin Soc Electr Eng 33(25):139–146

    Google Scholar 

  25. Jianhua L, Jiasheng X, Lina R (2020) Incomplete preventive replacement and maintenance model under reliability constraints [J/OL]. Acta Solar Energy. https://doi.org/10.19912/j.0254-0096.tynxb.2020-1372

    Article  Google Scholar 

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Acknowledgements

The authors are very grateful to the helpful comments from the anonymous reviewers. This work was supported by the National Natural Science Foundation of China [Grant Number 51767017], Basic Research Innovation Group Project of Gansu Province [Grant Number 18JR3RA133].

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Authors and Affiliations

  1. College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Wei Chen, Xubin Li & Xiping Pei

  2. State Grid Gansu Electric Power Company Lanzhou Power Supply Company, Lanzhou, 730050, China

    Qingchun Ji, Zhongfei Wang & Feng He

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  1. Wei Chen
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  2. Xubin Li
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  3. Qingchun Ji
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  4. Xiping Pei
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  5. Zhongfei Wang
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  6. Feng He
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Correspondence to Xubin Li.

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Chen, W., Li, X., Ji, Q. et al. A dynamic and combined maintenance strategy for photovoltaic power plants considering the dependencies and availability of components. Electr Eng 104, 3779–3792 (2022). https://doi.org/10.1007/s00202-022-01576-7

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  • DOI: https://doi.org/10.1007/s00202-022-01576-7

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