Using a combined Artificial Intelligent Approach in Distance Relay for Transmission line Protection in EPS

Abstract

The sophisticated Application of Artificial Intelligent Approaches was introduced recently in Protection of Transmission line in electric power systems. However, these approaches started with introducing Fuzzy Logic (FL) in the last decades of the last century. Furthermore, Artificial Neural Network (ANN) was introduced to solve many problems in electric power systems. Among these problems is Protection of Transmission line. In this proposed article, the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) for Distance Relay Protection for Transmission line in Electrical Power systems (EPS) will be illustrated. The proposed technique is focusing on fault detection, classification, and location. Furthermore, all these issues will be addressed. The ANFIS can be viewed as a fuzzy system, a neural network or fuzzy neural network. This paper aims; firstly, to detect the fault occurrence in very short time and isolate the faulty section of the transmission lines. Secondly to classify the fault type and deduce which of the three phases are exposed to the fault. Finally, locating the fault will be achieved easily. The input data of the ANFIS are firstly derived from the fundamental values of the voltage and current measurements (using digital signal processing via Fourier transform).