Open Access
| Issue |
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 12 | |
| Section | Smart Algorithms and Recognition | |
| DOI | https://doi.org/10.1051/matecconf/202030903007 | |
| Published online | 04 March 2020 | |
- Z.K. Li, Q. Lu, Y. Fu, et al, State splitting multi-objective dynamic programming algorithm for dynamic reconstruction of active distribution networks [J]. Proceedings of the CSEE, 2019, 39(17),pp. 5025–5036+5284. [Google Scholar]
- H.F. Zhai, M. Yang, L.G. Zhao, et al, Three-phase robust dynamic reconstruction of distribution network to enhance the acceptance capacity of distributed power supply [J]. Automation of Electric Power Systems, 2019, 43(18), pp. 35–47. [Google Scholar]
- Y. Xiang, J.Y. Liu, L.Z. Yao, et al, Study on optimization strategy of island division and reconstruction of distribution network with distributed power supply under fault conditions [J]. Grid Technology, 2013,37(04), pp. 1025–1032. [Google Scholar]
- Y.D. Tang, Z. Wu, W. Gu, Reconstruction of active distribution network fault recovery and island partition unified model [J/OL]. Power grid technology: 1-11 [2019-11–15].https://doi.Org/10.13335/j.1000-3673.pst.2019.1483. [Google Scholar]
- F. Li, W. Xu, J.W. Lin, et al, Islanding division of distribution network considering distributed power output and load uncertainty [J]. Automation of Electric Power Systems, 2015, 39(14),pp. 105–113 +132. [Google Scholar]
- Y. Ding, F. Wang, F. Bing, et al, Reconstruction of multi-objective distribution network based on game theory [J]. Electric Power Automation Equipment, 2019, 33 (02), pp. 28–35. [Google Scholar]
- H.J. Sun, C.H. Peng, Y.S. Yuan, Multi-objective dynamic reconstruction of distribution network based on integrated switching frequency analysis [J]. Power Automation Equipment, 2014,34(9), pp. 41–46. [Google Scholar]
- J.Q. Zhu, B.Q. Zhu, W.W. Xu, et al, The switching sequence optimization of distribution network reconfiguration considering process safety. Power Automation Equipment, 2019, 39(05), pp. 37–44. [Google Scholar]
- Z.K. Li, X.Y. Chen, K. Yu, et al, Hybrid particle swarm optimization algorithm for distribution network reconstruction. Chinese Journal of Electrical Engineering, 2008, 28(31), pp. 35–41. [Google Scholar]
- X.R. Xiang, D.C. Liu, N. Xiang, et al, Distribution network reconstruction based on parallel tabu search algorithm. Grid Technology, 2012,36(08), pp. 100–105. [Google Scholar]
- C.Y. Ma, Z.Z. Sun, Z.C. Yin, et al, Distribution network reconstruction based on double hybrid particle swarm optimization algorithm. Chinese Journal of Electrical Technology, 2016, 31(11), pp. 120–128. [Google Scholar]
- Y.J. Cao, G.Z. Wang, L.H. Cao, Judgment model of self-organized critical state of complex power grid based on power flow entropy. Automation of Electric Power Systems, 2011, 35(7), pp. 1–6. [Google Scholar]
- M.C. Li, W.M. Mei, Y.Q. Liu, et al, Method for accurate identification of brittle branch of power grid based on improved load flow entropy index [J]. Electrical Technology, 2019, 43 (3), pp. 1026–1033. [Google Scholar]
- L.L. Yang, L. Ma, H.Z. Zhang, Chaos optimization algorithm for multi-objective 0-1 programming [J]. Computer Application Research, 2012, 29(12), pp. 4486–4488. [Google Scholar]
- B. Li, W.S. Jiang, Chaos Optimization Method and Its Application[J].Control Theory and Applications, 1997,(04), pp. 613–615. [Google Scholar]
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