Cyber-Physical Power System Testing Platform for Topology Identification in Power Distribution Grids

The transformation of passive electric power distribution grids (PDG) towards active ones relies heavily on digital and communication technologies to perform advanced functionalities such as optimal power flow or state estimation. The knowledge of the PDG topology is a fundamental requirement for enabling these functionalities. Since this information is often unavailable or outdated, topology identification (TI) appears as a key component in the smart grid transition. This paper analyses the accuracy of a recently proposed TI algorithm based on mixed integer linear programming (MILP) in a cyber-physical power system (CPPS) testing platform. Experimental results show the accuracy and robustness of the algorithm against errors in the sensor and pseudo-measurements.