Network topology tracking methodology customized for the fault diagnosis problem in electrical power systems

Abstract

This paper presents a data structure developed to track the network topology of electrical power systems with the purpose of interconnecting the supervisory control and data acquisition (SCADA) with a generic alarm processor. The interface between SCADA and alarm processor is achieved by identifying the adjacencies of each disconnected component due to the fault. A network topology tracking methodology is proposed to treat logical measurements of switching devices status and the information of data-base describing the network connectivity. In the fault diagnosis problem, this paper demonstrates that the proposed approach is significantly more efficient than processors reported in the literature because it allows to map and to estimate the origin of a fault using a group of suspect equipment.