微型电脑应用2024,Vol.40Issue(1) :73-76,83.

基于潮流修正算法模型的配电网资产大数据管理方法

Distribution Network Asset Big Data Management Method Based on Power Flow Correction Algorithm Model

陈绍南 梁朔 李珊 周杨珺 俞小勇
微型电脑应用2024,Vol.40Issue(1) :73-76,83.

基于潮流修正算法模型的配电网资产大数据管理方法

Distribution Network Asset Big Data Management Method Based on Power Flow Correction Algorithm Model

陈绍南 1梁朔 1李珊 1周杨珺 1俞小勇1
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作者信息

  • 1. 广西电网有限责任公司电力科学研究院,广西,南宁 530023
  • 折叠

摘要

为了提高现有技术中配电网资产运行效率,设计一套新型配电网资产运行效率评估方案,构建潮流修正算法模型,实现配电网资产大数据信息的统筹管理,通过数学计算的方法实现配电网运行情况计算.在提高配网资产数据架构不同节点运行时,构架新型单亲遗传算法模型,提高电力管理方式.通过示例,所提方法网损较小、耗时短、误差低.

Abstract

In order to improve the operation efficiency of distribution network assets in the existing technology,a new set of evaluation schemes for the operation efficiency of distribution network assets is designed,and a power flow correction algorithm model is constructed to realize the overall management of big data information of distribution network assets through mathemat-ical calculations.The method realizes the calculation of the operation of the distribution network.When improving the opera-tion of different nodes in the distribution network asset data structure,a new partheno genetic algorithm model is also construc-ted to improve the power management method.Through examples,the method proposed has small network loss,short time-consuming,and low error.

关键词

配电网/数据融合算法模型/配网改造优化模型/单亲遗传算法模型/资产信息

Key words

distribution network/data fusion algorithm model/distribution network transformation optimization model/par-theno genetic algorithm model/asset information

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基金项目

南方电网公司广西电网有限责任公司科技项目(GXKJXM20170389)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
参考文献量11
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