Abstract
The aim of this study was to address the information computational complexity resulting from the highly coupled switching state and load power supply in the reconstruction of a traditional ship power distribution information network (SPDN). Then the cohort intelligence algorithm (CI)-based strategy of maximum power supply recovery for a non-fault load is proposed. Accordingly, the problems of restoring the power supply, supplying power for the key load and the maximizing the load power supply, can be addressed efficiently based in power information reconstruction. Finally, based on the malfunction of the ship medium-voltage DC (MVDC) integrated electric propulsion system, the effectiveness and reliability of the strategy in solving problems in reconstructing the SPDN are verified, and the mission performance of the ship can be better ensured.
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Acknowledgements
It is appreciated that this research is supported by Fundamental Research Funds for the Central Universities 3072019CF0406, 3072019CF0407.
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Liu, H., Sun, Y., Zhang, L. (2020). Information Reconstruction Strategy for a Ship Power Distribution System. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_59
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DOI: https://doi.org/10.1007/978-981-15-1468-5_59
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