High impedance fault detection using fuzzy logic technique

Abstract

The power systems are complex and not always easy to understand. Now a days Distributed Generation (DG) based on renewable energy resources enrolled an exponential progress encouraged by the policy makers, global concerns about CO2 emissions, energy shortage, and anxiety for clean strength generation. This leads to a quick and constant upgrading of improvement in this particular region, bringing these systems at a point where their unwavering quality and fitness isn't any longer examined. The greatest challenge for electrical engineers is to provide a better protection scheme to detect the high impedance faults (HIFs). HIF conventionally happen when the primary conductor makes unwanted electrical contact with a rod surface, sod, tree limb, which restricts the flow of fault current to a level underneath that consistently detectable by conventional overcurrent devices. A novel and efficient protection scheme have to able to detect the HIFs and which can operate power system adequately, and protects the equipment as well as the public from hazardous over voltages. This paper pursues is to analysis of literature associated to HIF appearance. In this work, fuzzy logic technique used for HIF detection are assessed. The proposed HIF model gives more exact and consistent compared to other methods.