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

作　　者：陈绍南 梁朔 李珊 周杨珺 俞小勇 CHEN Shaonan;LIANG Shuo;LI Shan;ZHOU Yangjun;YU Xiaoyong(Electric Power Science Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning 530023,China)

机构地区：[1]广西电网有限责任公司电力科学研究院,广西南宁530023

出　　处：《微型电脑应用》2024年第1期73-76,83,共5页Microcomputer Applications

基　　金：南方电网公司广西电网有限责任公司科技项目(GXKJXM20170389)。

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。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 mathematical calculations.The method realizes the calculation of the operation of the distribution network.When improving the operation of different nodes in the distribution network asset data structure,a new partheno genetic algorithm model is also constructed 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 

分 类 号：TM727[电气工程—电力系统及自动化]