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A disassembly sequence planning method with improved discrete grey wolf optimizer for equipment maintenance in hydropower station

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Abstract

The foundation of hydropower station equipment maintenance is parts disassembly, thus a reasonable disassembly sequence can optimize the maintenance efficiency. To this end, a disassembly sequence planning method based on improved discrete grey wolf optimizer (IDGWO) is proposed in this paper. Firstly, in the modeling, a directed graph with combination nodes is adopted to represent the priority constraint relationship of parts. In addition, a sequence evaluation index based on operator moving distance is added to the fitness function. Subsequently, in algorithm design, we improve the optimization mechanism of traditional grey wolf optimizer and propose a self-renewal (SR) mechanism and an exchange optimization operator (EOO) to enhance the optimization efficiency and stability. Finally, two experiments are conducted using five actual maintenance items. The first experiment is performed to verify the effectiveness of the proposed SR mechanism and EOO. The second experiment is adopted to verify the superiority of the proposed IDGWO compared with four well-known algorithms. The experimental results show that in five actual maintenance items, the proportion of the optimal sequence found by the IDGWO reach to 100%, 32%, 29%, 100% and 100%, respectively, which is higher than comparison algorithms. In addition, IDGWO has a prominent performance in stability and convergence speed than other comparison algorithms.

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Data availability

The data that support the findings of this study are available from the corresponding author, [Xing Liu], upon reasonable request.

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Acknowledgements

This work described in this paper is supported by the National Natural Science Foundation of China (NSFC) (517419-07), the Open Fund of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (2017KJX06).

Author information

Author notes

  1. Xing Liu, Fanwu Chu, Bailin Li and Jiahao Gu have contributed equally to this work.

Authors and Affiliations

  1. College of Electrical Engineering and New Energy, Three Gorges University, Yichang, 443002, Hubei, China

    Wenlong Fu, Xing Liu, Bailin Li & Jiahao Gu

  2. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, Three Gorges University, Yichang, 443002, Hubei, China

    Wenlong Fu & Bailin Li

  3. Quality Inspection and Test Center for Equipment of Electric Power, China Electric Power Research Institute, Wuhan, 430074, Hubei, China

    Fanwu Chu

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  1. Wenlong Fu
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Correspondence to Bailin Li.

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Appendix A: Tables 5, 6, 7 and 8 and Figs. 20, 21, 22, 23 and 24 mentioned in the article

Appendix A: Tables 5, 6, 7 and 8 and Figs. 20, 21, 22, 23 and 24 mentioned in the article

Table 5 The cost matrix of combination node 89 in flat plate water seal
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Table 6 The disassembly nodes information for flat plate water seal
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Table 7 The disassembly nodes information for bypass pipe
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Table 8 The disassembly information nodes for upstream pipe
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Fig. 20
figure 20

Assembly drawing of the flat plate water seal

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Fig. 21
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Assembly drawing of the bypass pipes and the upper pipes

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Fig. 22
figure 22

Explosion map of the flat plate water seal (cited from [15])

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Fig. 23
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Explosion map of the bypass pipe

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Fig. 24
figure 24

Explosion map of the upstream pipe

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Fu, W., Liu, X., Chu, F. et al. A disassembly sequence planning method with improved discrete grey wolf optimizer for equipment maintenance in hydropower station. J Supercomput 79, 4351–4382 (2023). https://doi.org/10.1007/s11227-022-04822-8

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