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云边协同下的电网脆弱线路辨识方法设计

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针对以单纯云计算为基础的电网脆弱线路辨识中,存在主节点计算压力大、耗时过高的问题,引入云边协同方法,设计了一种以云边协同为基础的电网脆弱线路辨识方法.以云边协同逻辑架构为基础,将云计算与边缘计算相融合,构建电网脆弱线路辨识模型.利用PageRank算法建立DNS缓存,整合云计算下的边缘设备数据源,以基尔霍夫定律为基础,计算不同线路的潮流值,根据潮流结果完成电网脆弱线路辨识.结果表明,所提方法对电网中的脆弱线路辨识性能更强、耗时更短.
Design of fragile line identification method based on cloud edge collaboration
During the identification of fragile lines in power grid by using pure cloud computation,there are problems such as high computing pressure on main nodes and high time consumption.By introducing the cloud edge coordination method,a method based on cloud edge coordination for identifying fragile lines in power grid was designed.Based on the cloud edge collaborative logic architecture,cloud and edge computations were integrated to build a fragile line identification model.The PageRank algorithm was used to establish DNS cache and integrate edge device data sources under cloud computation.Based on Kirchhoff's law,the power flow values of different lines were calculated,and the identification of fragile lines was completed according to the power flow results.The results show that the as-proposed method has better performance and lower time consumption when identifying fragile lines in power grid.

cloud edge collaborationoptimal power flowcloud computingedge computingpower transfer distribution factorPageRank algorithmfragile line

罗伟峰、黄建华、赖丹辉、任彬华

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深圳大学 计算机与软件学院,广东 深圳 518060

深圳供电局有限公司 信息中心,广东 深圳 518000

云边协同 最优潮流 云计算 边缘计算 功率转移分布因子 PageRank算法 脆弱线路

广东省科技攻关计划

2019GKQNCX031

2024

沈阳工业大学学报
沈阳工业大学

沈阳工业大学学报

CSTPCD北大核心
影响因子:0.62
ISSN:1000-1646
年,卷(期):2024.46(2)
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