一种识别闭合开关元件信息错误的状态估计方法

State Estimation Algorithm with Identification of Closed Breakers Information

广义状态估计中,为识别闭合开关元件连通片信息错误,提出虚拟开关元件概念,并以此构建不影响识别结果的最小特征电网;在模拟量测方程基础上,补充虚拟开关元件的两端电压相等约束条件,由此建立具有等式约束的最小二乘数学模型。在此基础上,给出基于概率的量测残差和拉格朗日乘子间关联的规律以及识别的准则,论证了正常情况下开关元件信息错误的识别与模拟量不良数据的识别之间互不混淆。最后,以3节点简单电力系统与烟台实际电网为例进行了计算和分析,验证了模型和算法的有效性。

In generalized state estimation, to identify the misinformation of the connected region formed by the closed breakers, the concept of virtual breakers is used to build the minimum feature network based on the generalized network that does not affect the quality .of identification. In addition to analog measurements, zero-voltage drop for virtual closed switch as equality constraint is added to formulate the model of weighted least squares with equality constraints. The relation between residual and Lagrange multiplier from the probability standpoint is discussed alongside the approach to identifying bad data. Furthermore, it can be seen that the identification of the bad analog data is distinguished from that of the bad breaker status under normal conditions. Finally, the validity of the model and algorithm is verified with a three-node simple system and the data from Yantai grid of Shandong Province.