区域电力系统拓扑结构再造

Q3 Computer Science Radioelectronic and Computer Systems Pub Date : 2022-05-18 DOI:10.32620/reks.2022.2.04
A. Nechyporenko, Yevhen Hubarenko, Maryna Hubarenko
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引用次数: 0

摘要

本文分析了一个区域电力系统配电网的拓扑结构。本研究通过升级配电网拓扑结构的重新设计(再造)方法,提高了电力系统的运行效率。研究对象是一个由发电、输电和配电部分组成的需要重新设计的电力系统。研究的主题是重新设计电力系统配电网的拓扑结构。为了达到研究目的,使用了对k均值算法的修改,以及基于Prim和Kraskal的统计分析、聚类和最小生成树开发方法的小步算法。本文中描述的修改允许基于用户需求、操作网格元素的属性以及其他额外的灵活性和通用性约束来优化网络。在参数不断变化的情况下,这种方法提供了重新设计配电网部分的方法,使其某些元件免受位移的影响,但也为重新设计整个配电网提供了方法,包括改变变电站和输电线路的数量和位置。结论。为了解决本文中确定地域上接近的消费者群体的问题,提出了使用k均值聚类算法。该算法允许我们将消费者集划分为多个集群,以便将其中心的坐标推荐为变电站的位置。k-means算法的现代化是通过开发使用不同策略添加和组合聚类的程序来确定起始质心的。在此基础上,提出了一种从根本重组的可能性角度对区域电力系统拓扑结构进行重组的方法。这项研究的结果可能对公司、地区或地方层面的电力系统开发的制定或设计的各种企业、组织或机构有用。
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Topological structure reengineering regional electric power systems
This paper analyses the topology of a regional power system distribution grid. This research improves the efficiency of the electric power system's operation by using upgrading the redesign (reengineering) methods of topological structures within distribution grids. The research object is an electric power system that consists of generation, transmission and distribution parts and requires reengineering. The subject of research is the re-engineering of the topology of the power system distribution grid. To achieve the research purpose, modifications of k-means algorithm as well as the small step algorithm based on the statistical analysis, clustering and minimum spanning tree development methods of Prim and Kraskal are used. The modifications described in this paper allow for optimization of the network based on user needs, properties of the operating grid elements, and other additional constraints for flexibility and generality. Given the varying parameters, this method provides the means to redesign parts of the distribution grid, keeping its certain elements safe from displacement, but also the means to redesign the whole distribution grid, including changes to the number and location of transformer substations and transmission lines. Conclusions. To solve the problem of determining the territorially close groups of consumers in the paper, it was proposed to use the k-means clustering algorithm. This algorithm allows us to divide consumer sets into clusters, so that coordinates of their centres will be recommended as locations of transformer substations. The modernization of the k-means algorithm was proposed by developing procedures for adding and combining clusters using different strategies for determining starting centroids. Based on this, a method for reengineering the topological structures of regional electric power systems in terms of the possibility of their fundamental restructuring was developed. The results of this research may be useful to various enterprises, organizations or institutes dealing with the elaboration or design of electric power system development on the corporate, regional or local level.
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来源期刊
Radioelectronic and Computer Systems
Radioelectronic and Computer Systems Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.60
自引率
0.00%
发文量
50
审稿时长
2 weeks
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