Optimal Allocation of Fault Indicator Devices in Power Systems using Fuzzy Inference

D.M.B.S. de Souza and A.F. de Assis (Brazil)


Fault indicator, fuzzy inference system, power system protection, and artificial intelligence.


This paper evaluates the behavior related to the main variables that influence in the quantification of potential points for installation of fault indicators along electric power distribution feeders. Moreover, based on these behavioral characteristics, fuzzy inference systems are also used to estimate the best positions to allocate fault indicators, which take into account the distance in that a particular bus is in relation to more adjacent protection devices, load profile and short-circuit current levels of the downstream system to the respective points. Results with real data highlight the efficiency of the proposed methodology.

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