FAULT LOCATION IN DISTRIBUTION NETWORKS WITH DISTRIBUTED GENERATION USING NONLINEAR PROGRAMMING TECHNIQUES

The growing demand for operational efficiency has encouraged the modernization of the power distribution system with the implementation of new control and automation technologies, and conditioning and data processing. With the integration of fault management, the service of fault finding, isolation and restoration of the supply service can be completely automated. The fault diagnosis function determines the most likely location of a fault event using information from the distribution network and relays. In this work, distribution network analysis models and nonlinear programming techniques are used as auxiliary functions in modern fault location algorithms. The assessment is carried out under a real distribution network with distributed generation. The results show the sensitivity of the proposed method that is able to find the missing bar and provide the value of the missing resistance in 100% of the cases.