Coordination Optimization of Directive Current Release Due To Added Electricity in The Distribution Network Using ANFIS

Abstract

The addition of Distributed Generation (DG) to the distribution network can change the condition of the load flow direction. Directional overcurrent relays are reliable protective equipment in protecting systems with variable load flow directions. Previously, research has been carried out to optimize the coordination of directed overcurrent relays using the Differential Evolution (DE), Genetic Algorithm (GA), Artificial Immune System (AIS), and AntLion Optimizer (ALO) methods. In this study, using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method using the MATLAB program, the time values and TMS (Time Multiple Setting) are obtained to applied in directional overcurrent relays on the IEEE 30 Bus system. From this study, the percentage of total operating time error on the results of manual calculations in near-end conditions with the ANFIS method is -0.043% more optimal than the DE, GA, AIS, and ALO methods. In the far-end condition, the percentage of error using the ANFIS method is -2.406%, which is more optimal than the DE, GA, AIS, and ALO methods.