引用本文: | 陈新岗,余兵,陈小青,等.基于PAM时段划分的配电网动态重构[J].电力系统保护与控制,2019,47(7):99-105.[点击复制] |
CHEN Xingang,YU Bing,CHEN Xiaoqing,et al.Dynamic reconfiguration of distribution network based on PAM time division[J].Power System Protection and Control,2019,47(7):99-105[点击复制] |
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摘要: |
为保证配电网的安全稳定运行,提出一种基于PAM( Partitioning Around Medoid )时段划分的配电网动态重构方法。以配电网网络损耗、电压偏移和负荷均衡为目标函数,建立配电网动态重构模型。针对配电网动态重构过程中的时段划分问题,给出一种以相异度为分段指标的PAM时段划分方法。为提升协同粒子群算法(Cooperative particle swarm optimization, Co-pso)的寻优能力,对其速度更新公式进行修正,并引入正态分布随机调整因子对协同粒子群算法进行改进。选择IEEE33节点系统进行算例分析计算,算例结果验证了上述方法的有效性。 |
关键词: 配电网 动态重构 PAM时段划分 协同粒子群 相异度 |
DOI:10.7667/PSPC180649 |
投稿时间:2018-05-30修订日期:2018-07-02 |
基金项目:重庆市教育委员会科学技术研究项目||(KJ 1709225);重庆理工大学研究生创新项目||(ycx2018230) |
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Dynamic reconfiguration of distribution network based on PAM time division |
CHEN Xingang,YU Bing,CHEN Xiaoqing,ZHAO Tang,FENG Yuxuan,LONG Yao |
(Chongqing University of Technology, Chongqing 400054, China;Chongqing Engineering Research Center of Energy Internet, Chongqing 400054, China) |
Abstract: |
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. This work is supported by Science and Technology Research Program of Chongqing Education Commission (No. KJ1709225). |
Key words: distribution network dynamic reconfiguration PAM time division cooperative particle swarm dissimilarity |