Research on optimal sub network division method of distribution network

Fan Xie; Anqin Luo; JiaNan Yuan

doi:10.1117/12.2635172

25 April 2022 Research on optimal sub network division method of distribution network

Fan Xie, Anqin Luo, JiaNan Yuan

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224458 (2022) https://doi.org/10.1117/12.2635172
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

With the massive access of distributed power sources, the traditional passive distribution network is gradually transformed into an active distribution network, which has changed the structure of the original distribution network and its operation and control strategies. The self-recovery of the distribution network based on distributed power has become an extremely important development trend in the new situation. In order to improve the reliability of power supply and realize the seamless conversion between island mode and grid-connected mode, the subnet division of distributed power generation network was studied. When optimizing the results of subnet division, an improved wolf pack algorithm was adopted. Based on the nature of subnet division, the algorithm was adaptively improved, so that the algorithm can be applied to the discrete function domain; at the same time, the wolf pack algorithm is introduced. The information transmission mechanism of the gray wolf, through the information transmission between the gray wolf and the local optimal wolf and the global optimal wolf, updates the position of the gray wolf to jump out of the local optimal, and improves the accuracy and reliability of the results.

Citation Download Citation

Fan Xie, Anqin Luo, and JiaNan Yuan "Research on optimal sub network division method of distribution network", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224458 (25 April 2022); https://doi.org/10.1117/12.2635172

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