考虑源负载不确定性和特性互补聚类的中压馈线区块划分方法

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS Frontiers in Energy Research Pub Date : 2024-08-07 DOI:10.3389/fenrg.2024.1452011
Jieyun Zheng, Zhanghuang Zhang, Ying Shi, Zhuolin Chen
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引用次数: 0

摘要

现有的馈线区块划分方法未能考虑电源和负载之间的互补特性和不确定性,从而导致馈线区块过多、区块间平衡度低、净负载峰谷差悬殊。针对这些问题,本文提出了一种考虑了电源和负载的不确定性和互补性的中压馈线区块划分方法。首先,基于电源和负载的概率密度特征,建立了 DG 输出和负载需求的不确定性模型。其次,考虑到区块最大负载率和馈线不交叉的约束条件,建立了馈线区块划分模型。此外,还定义了一组中心圆,并在此基础上提出了一种改进的 K-means 聚类算法。根据中心圆设定初始聚类中心,并根据中心圆的弧线修正聚类中心。并计算电源和聚类中心之间的加权距离。据此设计出改进的 K-means 聚类馈电块划分算法流程。最后,案例研究表明,区块划分的结果得到了改善。
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Medium-voltage feeder blocks division method considering source-load uncertainty and characteristics complementary clustering
Existing feeder block division methods fail to consider the complementary characteristics and uncertainty between power sources and loads, which result in excessive feeder blocks, low inter-block balance, and significant disparity in net load peak-valley difference. To address these issues, a medium-voltage feeder block division method that considers the uncertainty and complementary characteristics of sources and loads is proposed. Firstly, based on the probability density characteristics of sources and loads, an uncertainty model of DG output and load demand is established. Secondly, considering the constraints of block maximum load rate and feeder non-crossing, a feeder block division model is established. Additionally, a set of center circles is defined, and based on this, an improved K-means clustering algorithm is proposed. The initial clustering centers based on the center circles is set, and the clustering centers based on the arcs of the center circles corrected. And the weighted distances between power sources and clustering centers are calculated. An algorithm flow for improved K-means clustering feeder block division is designed accordingly. Finally, the case studies show that the result of block division is improved.
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来源期刊
Frontiers in Energy Research
Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.90
自引率
11.80%
发文量
1727
审稿时长
12 weeks
期刊介绍: Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
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