Dynamic reconfiguration of distribution network based on PAM time division

被引：0
|
作者：
Chen X. [1 ,2 ]
Yu B. [1 ]
Chen X. [1 ,2 ]
Zhao T. [1 ]
Feng Y. [1 ]
Long Y. [1 ]
机构：
[1] Chongqing University of Technology, Chongqing
[2] Chongqing Engineering Research Center of Energy Internet, Chongqing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 07期
关键词：
Cooperative particle swarm; Dissimilarity; Distribution network; Dynamic reconfiguration; PAM time division;
D O I：
10.7667/PSPC180649
中图分类号：
学科分类号：
摘要：
In order to ensure the safe and stable operation of the distribution network, a dynamic reconfiguration method of distribution network based on Partitioning Around Medoid (PAM) time division is proposed. The dynamic reconstruction model of distribution network is established based on network loss, voltage offset and load balance. Aiming at the time division problem in the process of dynamic reconfiguration of distribution network, a method of PAM time division based on dissimilarity is presented. To improve the searching ability of the Cooperative Particle Swarm Optimization (CO-PSO), the velocity updating formula is modified and the normal distribution random adjustment factor is introduced to improve the CO-PSO. The IEEE33 node system is calculated and analyzed. The calculation results verify the validity of the above method. © 2019, Power System Protection and Control Press. All right reserved.
引用
下载
收藏
页码：99 / 105
页数：6
相关论文
共 21 条
  • [1] Ying L., Liu M., Deng L., Et al., A comprehensive review of the loss reduction in distribution network, Power System Protection and Control, 45, 19, pp. 162-169, (2017)
  • [2] Pang Q., Gao H., Li T., Load balancing based fault service restoration for smart distribution grid, Power System Technology, 37, 2, pp. 342-348, (2013)
  • [3] Liu J., Cheng H., Xiao J., Et al., A multi- objective reconfiguration strategy for smart distribution network considering N-1 security criterion, Automation of Electric Power Systems, 40, 7, pp. 9-15, (2016)
  • [4] Li C., Wei Z., Han L., Application of ordinal optimization in distribution network reconstruction, Power System Protection and Control, 43, 8, pp. 41-48, (2015)
  • [5] Qiu X., Hu Z., Reconfiguration of distribution network based on improved teaching-learning-based optimization algorithm, Power System Protection and Control, 44, 12, pp. 42-49, (2016)
  • [6] Liu Z., Liu Y., Lin S., Et al., Fuzzy multi-objective coordination optimization for distribution network reconfiguration, Power System Protection and Control, 42, 4, pp. 133-138, (2014)
  • [7] Feng Y., Ma Y., Zhu J., Economic optimization research on active distribution network based on multi-agent dynamic topology reconfiguration, Southern Power System Technology, 12, 1, pp. 76-83, (2018)
  • [8] Tang K., Qiu X., Wang L., Et al., Scrolling reconfiguration strategy for distribution network based on prediction information of wind power, Proceedings of the CSU-EPSA, 29, 4, pp. 72-77, (2017)
  • [9] Zhou H., Tang F., Liu D., Et al., Active distribution network dynamic reconfiguration and DG dynamic control strategy considering time-variant load, Power System Technology, 40, 8, pp. 2423-2429, (2016)
  • [10] Xiang X., Liu D., Xiang N., Et al., Distribution network reconfiguration based on parallel Tabu search algorithm, Power System Technology, 36, 8, pp. 100-105, (2012)
123