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电力系统是一个集发电、变电、输电、配电为一体的动态系统。电能本身不能储存的特殊性,决定了这个动态系统的特殊性——实时性。作为维系这个动态系统的纽带与核心的部门——调度,则需掌握大量的实时数据信息,为正确的调度与操作创造条件。为此,本文首先讨论了数据分类,接着分析了电力自动化系统中的数据采集﹑电力自动化系统中的数据一致性﹑电力自动化系统中的数据共享﹑电力自动化系统中的数据容灾﹑电力自动化系统中的数据整合,最后做了总结。因此本文具有深刻的理论意义和广泛的实际应用。
The power system is a dynamic system that integrates power generation, substation, transmission and distribution. The particularity of the energy itself can not be stored, determines the particularity of this dynamic system - real-time. As a part of the discipline and the core of the dynamic system - scheduling, you need to master a large number of real-time data and information to create the conditions for the correct scheduling and operation. To this end, this paper first discusses the data classification, and then analyzes the data acquisition in the power automation system, the data consistency in the power automation system, the data sharing in the power automation system, the data disaster recovery in the power automation system, the power automation system In the data integration, finally made a summary. Therefore, this article has a profound theoretical significance and a wide range of practical applications.