电器与能效管理技术Issue(3)：23-31,9.DOI:10.16628/j.cnki.2095-8188.2026.03.004
基于数据关联图谱的电网调控数据自动修复方法研究
Research on Power Grid Dispatching and Control Data Automatic Repair Methods Based on Data Association Graphs
摘要
Abstract
With the advancement of the new power system,high-quality data has become a crucial support for enhancing the coordinated control of large power grids and the lean management of dispatching.Aiming at the challenge of repairing abnormal massive,multi-source and heterogeneous data in cross-level collaborative power grid dispatching,an intelligent data repair method based on a data association graph is proposed.By integrating dispatching object relationships,spatio-temporal correlations,and data lineage,a panoramic power grid regulation and control data association graph is constructed,achieving the,fine-grained depiction of data throughout its entire life cycle.On this basis,a bidirectional tracking algorithm for abnormal data is proposed to enable efficient identification and accurate localization of anomalies.Furthermore,a multi-strategy collaborative data repair method integrating rules,models,and knowledge reasoning is developed,which combines repair impact assessment algorithm to generate the optimal repair strategy.Experimental results demonstrate that this method offers significant advantages in both repair efficiency and accuracy,effectively improving the quality of power grid regulation and control data and providing reliable data support for the safe and stable operation of smart grids.关键词
电网调控数据/数据血缘/全景数据关联图谱/多策略协同/数据修复Key words
power grid dispatching and control data/data lineage/panoramic data association graphs/multi-strategy collaboration/data repair分类
信息技术与安全科学引用本文复制引用
谢琳,陶蕾,王佳琪,李大鹏,叶瑞丽,张周杰,李嘉睿..基于数据关联图谱的电网调控数据自动修复方法研究[J].电器与能效管理技术,2026,(3):23-31,9.基金项目
中国电力科学研究院有限公司自筹项目(52420023008D) （52420023008D）
