Distributed Network Reconfiguration Under the Background of High Proportion of Distributed Generation

Author:

Tao Chen,Cunlu Dang

Publisher

Springer Nature Singapore

Reference13 articles.

1. Wu, H., Lei, X., Liu, B.: Membrane computing based genetic algorithm for dynamic reconfiguration of distribution network with dividing time and considering electric vehicles and wind turbines. Trans. China Electrotechnical Soc. 31(2), 196–205 (2016). (in Chinese)

2. Li, Y., Wei, G., Ma, Y.: Dynamic reconfiguration of’ active distribution network considering electric vehicles and distributed generations. Autom. Electr. Power Syst. 42(5), 102–110 (2018). (in Chinese)

3. Raposo, A., Silva, M., Rodrigues, A.B.: Robust meter placement for state estimation considering Distribution Network Reconfiguration for annual energy loss reduction. Electr. Power Syst. Res. 182 (2020)

4. Chen, Y., Jin, W., Wang, W.: A method for analyzing the absorption capacity of new energy in power distribution network with consideration of regional self-discipline and absorption quality. Electr. Power 54(09), 143–155 (2021). (in Chinese)

5. Wei, E., Yang, H., Xue, R.: Multi-objective distribution network reconstruction method based on discrete monkey swarm algorithm. Proc. CSU-EPSA 35(01), 30–35 (2023). (in Chinese)

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