[1]周林康,石 佳,李富鹏,等.基于改进蚁群算法的智能配电网网格化规划方法研究[J].机械与电子,2020,(12):42-45.
　ZHOU Linkang,SHI Jia,LI Fupeng,et al.Research on Grid Planning Method of Intelligent Distribution Network Based on Improved Ant Colony Algorithm[J].Machinery & Electronics,2020,(12):42-45.
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基于改进蚁群算法的智能配电网网格化规划方法研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2020年12期
页码:
42-45
栏目:
自动控制与检测
出版日期:
2020-12-18

文章信息/Info

Title:
Research on Grid Planning Method of Intelligent Distribution Network Based on Improved Ant Colony Algorithm
文章编号:
1001-2257(2020)12-0042-04
作者:

周林康1; 石 佳1; 李富鹏1; 徐静敏1; 孔志坚1; 王利民2

1.国网苏州供电公司，江苏 苏州 215000；
2.上海交通大学电子信息与电气工程学院，上海 200240
Author(s):
ZHOU Linkang1;  SHI Jia1;  LI Fupeng1;  XU Jingmin1;  KONG Zhijian1;  WANG Limin2
1. State Grid Suzhou Power Supply Company, Suzhou 215000, China;
2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
关键词:
改进蚁群算法; 智能配电网; 网格化规划; 参数寻优; 仿真实验
Keywords:
improved ant colony algorithm;  smart distribution network;  grid planning;  parameter optimization; simulation experiment
分类号:
TM715
文献标志码:
A
摘要:
为提高智能配电网规划能力，提出一种基于改进蚁群算法的智能配电网网格化规划方法。首先采用分块区域网格规划方法模拟智能配电网网格化参数，根据蚁群个体行为差异性定义节点规划度，再通过模板匹配和寻优得到节点部署模型。然后计算用户侧谐波阻抗实现智能配电网网格化规划过程的参数寻优，提高智能配电网网格化组合能力。在此基础上，建立谐波振荡的调制模型，在实现规划过程抗干扰抑制后，以谐波参数作为约束代价指标，在改进蚁群寻优控制下，实现智能配电网网格化规划设计。仿真实验结果表明：采用该方法实现配电网网格化规划后，配电网的输出稳定性较好，参数融合度水平较高。
Abstract:
In order to improve the planning ability of intelligent distribution network, a grid planning method based on improved ant colony algorithm was designed. Firstly, the grid parameter of smart distribution network is simulated by block area grid planning method, then the node planning degree is defined according to the ant colony individual behavior difference, and then the node deployment model is obtained by template matching and optimization. Then the user side harmonic impedance is calculated to optimize the parameters of the grid planning process of smart distribution network and improve the grid combination ability of smart distribution network. On this basis, the modulation model of harmonic oscillation is established. After the anti-interference and suppression of the planning process is realized, the grid planning and design of intelligent distribution network is realized under the improved ant colony optimization control by taking harmonic parameters as the constraint cost index. The simulation results show that the output stability of the distribution network is better and the degree of parameter fusion is higher after the grid grid planning is realized by using this method.

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相似文献/References:

[1]文生平,张磊,刘其信.基于改进蚁群算法激光导航轮式机器人路径规划[J].机械与电子,2016,(05):73.
　WEN Shengping,ZHANG Lei,LIU Qixin.Path Planning for Laser Navigation Wheeled Robots Based on Improved Ant Colony Algorithm[J].Machinery & Electronics,2016,(12):73.

备注/Memo

备注/Memo:

收稿日期：2020-08-21
基金项目：国家重点研发计划资助项目（2018YFB1503000）

作者简介：周林康（1974-），男，江苏苏州人，硕士，工程师，研究方向为配电网规划。

更新日期/Last Update: 2020-12-18