A method for distribution network cluster partition based on improved snake optimization algorithm

Fanrong Kong; Yubo Shen; Yue Qiu; Meng Zhou; Yan Chen; Hang Zhang; Jianquan Liang; Yanling Lv; Chaochao Li

doi:10.1117/12.3025006

13 May 2024 A method for distribution network cluster partition based on improved snake optimization algorithm

Fanrong Kong, Yubo Shen, Yue Qiu, Meng Zhou, Yan Chen, Hang Zhang, Jianquan Liang, Yanling Lv, Chaochao Li

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315984 (2024) https://doi.org/10.1117/12.3025006
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

With an increasing number of distributed energy storage (DES) connected to the power grid, distribution network (DN) is facing increasingly serious problems such as overvoltage and power backflow. Traditional cluster partitioning methods based on a single criterion are no longer able to meet the planning and operation needs of DN. Therefore, this article proposes a cluster partitioning method that comprehensively considers both structure and functionality. In which the electrical distance based modular index is used on the structural property, while on the functional property, active power (AP) balance and fluctuation of the line power of the cluster are considered. At the same time, in order to adapt to the comprehensive performance indicators, an improved snake optimization algorithm is used to partition DN. Theoretical and algorithmic validation was conducted by using IEEE33 nodes example system, and results showed that the proposed cluster partition has strong electrical coupling, good voltage regulation ability, and AP balance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fanrong Kong, Yubo Shen, Yue Qiu, Meng Zhou, Yan Chen, Hang Zhang, Jianquan Liang, Yanling Lv, and Chaochao Li "A method for distribution network cluster partition based on improved snake optimization algorithm", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315984 (13 May 2024); https://doi.org/10.1117/12.3025006

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