【摘要】 <正> 目前电力系统发展速度很快,网络结构也日趋复杂,对中心调度所来说,调度自动化已成为必不可少的一环。但实时量测系统测点安排还不够合理,冗余度低,数据可信度也很低,无法直接应用高级实时分析软件。因此,必须首先对实时量测数据进行预处理,检测和识别出不良数据,补充由于测点不足而得不到的数据,并建立一个可供实时分析软件应用的数据库,以达到可以运用高级分析软件的目的。本文的主要目的就是提出一种用网络分割来处理更多还原

【Abstract】 In this paper, facing the unreason of measuring point assinge redundance of real-time data measuring system, a new bad data processing method based on network tearing is proposed. As the torn network is usually small, with less nodes and branches, this detecting method of objective function J(x) always ensures high reliability and sensitivity with lower computing time and memory space requirements. The effectiveness of this method has been proved by a medium size system computation.更多还原