智能变电站二次设备多源数据建模与存储方法研究  

MULTI-SOURCE DATA MODELING AND STORAGE METHOD FOR SECONDARY EQUIPMENT IN INTELLIGENT SUBSTATION

作　　者：肖永立 刘松 见伟 宋亚奇[3] Xiao Yongli;Liu Song;Jian Wei;Song Yaqi(State Grid Beijing Maintenance Company, Beijing 100069, China;Beijing Zhongtai Huadian Technology Co., Ltd., Beijing 100080, China;School of Control and Computer, North China Electric Power University, Baoding 071000, Hebei, China)

机构地区：[1]国网北京检修分公司,北京100069 [2]北京中泰华电科技有限公司,北京100080 [3]华北电力大学控制与计算机学院,河北保定071000

出　　处：《计算机应用与软件》2019年第9期6-11,126,共7页Computer Applications and Software

基　　金：国家自然科学基金项目(51677072);中央高校基本科研业务费专项资金项目(9160718005)

摘　　要：针对IEC61850和IEC61970 CIM对变电站二次设备数据模型的不足,提出调度侧的智能变电站二次设备数据树状建模方法。考虑到二次设备数据类型多样,体量巨大,具备完整的电力大数据特征,基于MaxCompute设计多层次的智能变电站二次设备数据仓库。以继电保护设备状态评估为例,说明了数据建模、存储、数据加工和数据分析的过程。实测数据验证了算法的有效性和高性能。In order to overcome the shortcomings of data model for intelligent substation secondary equipment by IEC61850 and IEC61970, a tree-based data model method was proposed for modeling the secondary equipment data. Considering the diversity types and huge volume of secondary equipment data, it had complete charateristics of power big data. Based on MaxCompute, we designed a multi-level data warehouse for intelligent substation secondary equipment. Taking the status evaluation of relay protection equipment as an example, the process of data modeling, data storage, data processing and analysis was explained. The effectiveness and high performance of the algorithm are verified by the measured data.

关 键 词：二次设备 大数据 数据建模 云计算 MaxCompute 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] TM933[电气工程—电力电子与电力传动]