基于大数据技术的中压配电网接线模式优化与供电区域特征分析
Optimization of Connection Mode and Analysis of Power Supply Region Characteristics of Medium Voltage Distribution Network Based on Big Data Technology
周克青1
作者信息
- 1. 定州市供电公司,河北定州 073000
- 折叠
摘要
随着城市化和电力需求增长,中压配电网运行优化显得至关重要.研究应用大数据分析优化配电网接线模式,提升供电效率与质量,并引入密度峰值聚类算法,建立接线模式优选模型,明确供电区域特征及其对应关系,并利用聚类方法提取海量负荷数据的供电区域特征,实现接线模式优选.该方法拓宽了供电区域优选的应用范围,克服了传统方法在决策变量单一化上的局限,有较高的实用价值.
Abstract
With urbanization and increasing electricity demand,optimizing the operation of medium voltage distribution networks is crucial.Research and apply big data analysis to optimize the wiring mode of distribution networks,improve power supply efficiency and quality,and introduce density peak clustering algorithm to establish a wiring mode optimization model,clarify the characteristics of power supply areas and their corresponding relationships,and use clustering methods to extract the characteristics of power supply areas from massive load data to achieve wiring mode optimization.This method expands the application scope of power supply area optimization,overcomes the limitations of traditional methods in simplifying decision variables,and has high practical value.
关键词
DPC/中压配电网/接线/特征分析Key words
DPC/medium voltage distribution network/wiring/feature analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据