基于广域测量系统的新息图辨识不良数据方法

Bad Data Identification Based on Innovation Graph Technique in Wide Area Measurement System

相量测量单元(PMU)子站能够测量电压、电流的幅值和相角,提供全面的系统信息。文中利用PMU采集的电压、电流相量,基于交流潮流建模的新息图法提出了使用基尔霍夫电压定律(KVL)辨识不良数据的方法。首先推导了新息网络中存在共用树支支路的2个回路的回路电压降之间的关联关系,然后利用关联关系辨识出回路中包含的不良数据,具有计算量小、计算速度快、适用于广域测量系统(WAMS)的优点。该方法与新息差向量配合使用,可以辨识新息差向量不能辨识的不良数据,提高了新息图法辨识不良数据的能力。通过IEEE30节点系统验证了该方法的有效性,从算例可以看出该方法辨识强相关不良数据效果较好。

The amplitude and phase of voltage and current can be measured by the phasor measurement unit（PMU）to supply full-scale measurement information.Based on the innovation graph technique with the AC power flow model,the bad data identification method using the Kirchhoff＇s voltage law（KVL）is proposed.The interacting relation of circuit voltage drop between two loops including the common tree branch in the innovation graph is deduced for the first time.Then the bad data contained in the loop are identified using the interacting relation.The method has such advantages as comparatively small calculating burden,fast identifying speed and adaptability to the wide area measurement system（WAMS）.By cooperating with the innovation difference vector method,the method proposed can identify the bad data which the innovation difference vector cannot identify.The effectiveness of the method proposed is demonstrated on an IEEE 30-bus system with fairly good effect of identifying strongly interacting bad data.