采用数据可信度法提高配电自动化数据一致性

Distribution automation data unanimity improvement based on confidence method

提出的基于数据可信度的不良数据辩识和修正方法,能够在严重缺乏量测数据的情况下,有效地提高配电自动化系统遥测数据一致性。讨论了配电网的基本规律,并以此作为不良数据判断的依据。提出了数据可信度的概念,并论述了动态调整数据可信度的方法。论述了单个节点的不良数据辩识及修正过程和多个节点构成的区域的不良数据辩识及修正过程。最后结合实例进一步论述了提出的方法。

A new method to identify and correct bad data is put forward based on data confidence. The unanimity of data in a distribution automation system can be greatly improved even in the case of badly lacking of real time data. Basic regularities of a distribution system are discussed, based on which, bad data can be identified. A concept of data confidence is established together with the approach of adjusting data confidence dynamically. The data identification and correction methods for single bad data and a group of bad data are detailed. An example is given to illustrate the proposed method.