复杂状态估计不良数据的前推回代追踪辨识方法

本文综合考虑量测数据之间以及量测数据与网络参数之间的电路关联关系,提出了复杂状态估计不良数据的前推回代追踪辨识方法。首先,基于节点度等于1的拓扑搜索原则和节点不平衡功率最小的解环原则,通过拓扑搜索,将电网分解成辐射网结构并形成电网的支路层次矩阵L及对应支路的首末端节点信息矩阵M,然后利用L和M矩阵和本文定义的不良数据判据进行功率和电压的同步前推回代计算和不良数据判断,最终实现参数错误、不良量测数据及拓扑错误的有效辨识。基于IEEE39节点算例系统的仿真验证了该方法的有效性。

Forward-backward Backtracking Identification Method for Bad Data in Complex State Estimation

Considering the circuit connections between the measured data and between the measured data and network parameters,a forward-backward backtracking identification method is proposed for bad data in the complex state esti?mation.First,based on the topological search principle(i.e.,the node degree is equal to 1)and the unmarshalling prin?ciple(i.e.,the unbalanced power of node is minimum),the power grid is divided into a radiated network structure through topological search,thus forming a level matrix L of the branch in the power grid and an information matrix M of nodes at the two ends of the corresponding branch.Then,matrixes L and M and the criterion for bad data defined in this paper are used to carry out the synchronization forward-backward calculation of power and voltage.Finally,the effective identification of parameter errors,bad measured data and topological errors are realized.Simulations based on an IEEE 39-node example verifies the effectiveness of the proposed method.