电网技术2017，Vol.41Issue(4)：1139-1145,7.DOI:10.13335/j.1000-3673.pst.2016.2813
基于历史数据挖掘的配电网态势感知方法
A Novel Situation Awareness Approach Based on Historical Data-Mining Model in Distribution Networks
摘要
Abstract
With construction and development of active distribution network,accurate acquisition of current state and future state trend of distribution network based on abundant historical data has become an urgent problem to solve.A novel situation awareness approach in active distribution networks based on historical data-mining model is proposed in this paper.The proposed method provides new virtual measurements to state estimator and predicts future state trend.Simulation results show that the situation awareness approach has better performance in both accuracy and convergence compared with traditional state estimator and can predict state trend accurately.关键词
主动配电网/历史数据挖掘/三相状态估计/态势感知Key words
active distribution networks/historical data mining/three-phase state estimation/situation awareness分类
信息技术与安全科学引用本文复制引用
黄蔓云,卫志农,孙国强,臧海祥,黄强..基于历史数据挖掘的配电网态势感知方法[J].电网技术,2017,41(4):1139-1145,7.基金项目
国家自然科学基金项目(51277052) （51277052）
中央高校基本科研业务费专项基金(2016B20914) （2016B20914）
国家电网公司科学技术项目(521001160038).Project Supported by National Natural Science Foundation of China (51277052) （521001160038）
Fundamental Research Funds for the Central Universities (2016B20914) （2016B20914）
Science and Technology Foundation of the State Grid Corporation of China (521001160038). （521001160038）
