引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 785次   下载 993  
基于负荷区域划分的配电变电站规划模型
彭 文, 杜晓东, 石 敏
华北电力大学 控制与计算机工程学院,北京 102206
摘要:
传统配电变电站规划中网络负荷与配电变电站呈放射状连接,忽略了出线数量有限的问题,使得规划方案偏离于实际电网。针对该问题,提出一种基于负荷区域划分的配电变电站规划模型,将网络负荷划分为与出线数量相同的区域,在每个区域内,以源负荷为起始点采用“先主干后支路”原则建立负荷间连接,区域外则实现配电变电站与源负荷的放射连接。采用惩罚因子与奖励因子将地理因素融入规划模型中,并通过果蝇优化算法进行寻优。实验结果表明所得规划方案更贴近实际,验证了所提模型的科学性与有效性。
关键词:  变电站  规划  配电  负荷分区  果蝇优化算法  地理信息  改进的K-means聚类算法  模型
DOI:
分类号:
基金项目:
Distribution substation planning model based on load region division
PENG Wen, DU Xiaodong, SHI Min
School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China
Abstract:
The radial connection between load and substation in traditional substation planning ignores the outlet limitation,resulting in the mismatch between planning scheme and actual grid,aiming at which,a substation planning model based on load region division is proposed. It sets the load regions according to the number of outlets. For the loads in each region,it takes the original load as the starting point to establish the connections among loads,following the principle of “trunk before branch”. For the loads outside the regions,it applies the radial connection between original load and substation. Penalty factor and reward factor are adopted to introduce the geographic factor into the planning model and the fruit fly optimization algorithm is applied to obtain its optimal solution. Experimental results show the obtained planning more practical,verifying the scientificity and effectiveness of the proposed model.
Key words:  electric substations  planning  electric power distribution  load region division  fruit fly optimization algorithm  geographic information  improved K-means clustering algorithm  models

用微信扫一扫

用微信扫一扫