基于DSCADA和μPMU数据融合的配电网运行拓扑辨识

在配电网安装了配电网数据采集及监视控制系统（distribution network supervisory control and data acquisition， DSCADA）和部分节点安装少量微型同步相量测量装置（micro-synchronous phasor measurement unit， μPMU）情形下，提出了一种基于DSCADA和μPMU遥测数据融合的配电网运行拓扑辨识方法。首先，基于μPMU节点电压相位量测构建配电网拓扑变化时刻辨识模型，确定拓扑变化的时刻；然后，基于拓扑变化前后的节点电压变化，借助DSCADA和μPMU的遥测数据构建可能拓扑判据，缩小重构后可能拓扑的范围；最后，使用加权最小二乘法将DSCADA和μPMU遥测数据进行融合，估计出可能拓扑下的节点电压相位，并利用构建的拓扑相似度辨识模型辨识出实际拓扑。算例中考虑μPMU和DSCADA不同量测误差组合，对该算法辨识的准确性进行验证。

Identification of Distribution Network Operation Topology Based on DSCADA and μPMU Telemetry Data Fusion

In the case of distribution network， distribution network supervisory control and data acquisition （DSCADA） system and a small number of micro synchronous phasor measurement units （μPMU） installed in some nodes of distribution network， a method for distribution network operation topology identification based on the fusion of DSCADA and μPMU telemetry data is proposed. Firstly， the identification model of topology change time is constructed on the basis of node voltage phase measurement by μPMU， and the time of topology change is identified. Then， on the basis of the node voltage changes before and after the topology changes， criteria for possible topologies is constructed with the help of DSCADA and μPMU telemetry data， and the possible range of the reconstructed topology is reduced. Finally， the weighted least squares method is used to fuse the DSCADA and μPMU telemetry data， to estimate the node voltage phase under the possible topologies， and to identify the actual topology by using the established topology similarity identification model. The accuracy of the algorithm is verified by considering different measurement error combinations of μPMU and DSCADA.