电力系统自动化2024，Vol.48Issue(13)：100-108,9.DOI:10.7500/AEPS20231106005
事件触发机制下配电网三相动态状态估计
Three-phase Dynamic State Estimation for Distribution Network in Event-triggered Mechanism
摘要
Abstract
With the development of advanced metering infrastructure and the wide application of smart meters,the rich terminal measurement information is provided for the three-phase state estimation of distribution networks.At the same time,a large amount of smart meter data puts forward higher communication bandwidth and real-time storage requirements to the communication system of distribution networks.In order to alleviate the phenomenon of the measurement congestion and delay,this paper introduces an event-triggered mechanism instead of the traditional periodic sampling of measurement data,which ensures the timely uploading of effective measurement information while reducing the communication cost and investment.On this basis,for the real-time state sensing problem of distribution network,this paper proposes a three-phase dynamic state estimation method based on the robust ensemble Kalman filter,which can maintain estimation accuracy similar to the weighted least squares method in normal operation scenarios.The method also possesses strong robustness against bad data.关键词
配电网/状态估计/事件触发机制/集合卡尔曼滤波/加权最小二乘法Key words
distribution system/state estimation/event-triggered mechanism/ensemble Kalman filter/weighted least squares method引用本文复制引用
黄蔓云,徐启颖,孙国强,卫志农,孙康..事件触发机制下配电网三相动态状态估计[J].电力系统自动化,2024,48(13):100-108,9.基金项目
国家自然科学基金青年科学基金资助项目(52207090). This work is supported by National Natural Science Foundation of China(No.52207090). （52207090）
