Allocation model configuration of wind turbine maintenance vessel

Peijun Guo; Zesong Zhang; Guohua Zhang; Lei Li

doi:10.1117/12.2680791

23 May 2023 Allocation model configuration of wind turbine maintenance vessel

Peijun Guo, Zesong Zhang, Guohua Zhang, Lei Li

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264556 (2023) https://doi.org/10.1117/12.2680791
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In the process of offshore wind farm operation and maintenance, the allocation of wind turbine maintenance vessels completely depends on manual experience, which restricts the economic optimization of maintenance vessel allocation and the development of intelligent management of offshore wind power operation and maintenance. An allocation model with two objectives of the type and number of maintenance vessels is configured in this paper, and the multi-objective model is simplified into a single objective model containing two function variables by setting two discriminant parameters of near or far coastal wind farms and wind turbine failure type, among them, the function variable of wind power operation and maintenance workload is solved by BP neural network method, while the function variable of time window is obtained by establishing the four-dimensional graphs of time window of maintenance vessel. Finally, the solving flow of allocation model for wind turbine maintenance vessel is given.

Citation Download Citation

Peijun Guo, Zesong Zhang, Guohua Zhang, and Lei Li "Allocation model configuration of wind turbine maintenance vessel", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264556 (23 May 2023); https://doi.org/10.1117/12.2680791

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