Dynamic Equivalence of Power System Based on Artificial Immune Algorithm

Author:

Qiu Ziliang

Publisher

Springer Nature Singapore

Reference12 articles.

1. Liao, J.: Research on PAGV path planning based on artificial immune ant colony fusion algorithm. J. Intell. Fuzzy Syst. 35(16), 1–6 (2018)

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3. Chen, Y., Lin, M., Yu, R., et al.: Research on simulation and state prediction of nuclear power system based on LSTM neural network. Sci. Technol. Nuclear Installations 2021, 1–11 (2021)

4. Ying, W., Gang, M., Yi, T.: Research on dynamic thevenin equivalence method based on deviation correction. Am. J. Electr. Electron. Eng. 5(6), 195–201 (2017)

5. Hassen, H.B., Tounsi, J., Bachouch, R.B.: An artificial immune algorithm for HHC planning based on multi-agent system. Procedia Comput. Sci. 2019(164), 251–256 (2019)

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