International Journal of Advancements in Research & Technology, Volume 5, Issue 9, September-2016 14 ISSN 2278-7763 Copyright © 2016 SciResPub. IJOART THE DISTANCE RELAY BY USING ANFIS TO DETECT FAULTS IN TRANSMISSION LINE Ibrahim Ismael Ibrahim Ismael: was born in mosul in 1989. He got the B.Sc. and M.Sc. from the mosul University in 2011, 2014 respectively, in Electrical Engineering. mosul University, Department of Electrical Engineering. Abstract – In this research, a three-phase distance relay was designed by using an adaptive neuro-fuzzy inference system algorithm (ANFIS) to protect the overhead transmission lines where these lines are exposed to the faults continuously being built in outdoor and accompanied with the fault a high electrical current to large values lead to the destruction of electrical equipment in the power system. The research had the study of adding a load to the end of the line as (Over Load) and also adding a load in the center of the transmission line (Adding an intermediate station as load) where the designated distance relay with an adaptive neuro fuzzy network algorithm (ANFIS) was successful in distinguishing between these cases and cases of real faults in the transmission line on at variance of the classical distance relay that cannot distinguish between disturbance cases and faults cases. The adaptive neuro-fuzzy inference system (ANFIS) was designed into two parts: The first part: works to detect the faults in the transmission line by measuring the voltage signal and current for each phase and calculate the value of line impedance and through it, the fault will be detected and its location within the first zone or the second zone so that if the fault occurred within the first zone, the distance relay will issue instantous trip signal to circuit breaker (C.B) to separate the fault from the transmission line, or if the fault occurred within the second zone , the distance relay will delay trip signal to circuit breaker. The second part: works to detect the location and type of the fault in the transmission line by measuring maximum peak value of currents of the three phases in order to determine the fault location as well as the type of the fault. Through the presented results in the research the designated distance relay with algorithm (ANFIS) to detect the occurrence of faults and distinguish it from the cases of the disturbance as well as determine the protection zones in the event of the occurrence of faults and also the location and type of faults in the transmission line successfully. Keywords:Transmission Line, Fault Location, Fault Classification, Distance Relay, ANFIS. 1. Introduction The overhead transmission lines one of the main parts in the power systems. Since the transmission lines are exposed to the surrounding environmental conditions and the possibility of a fault occurs on these lines is higher than other major parts of the power system [1], When a fault occurs on the transmission line, it is necessary to detect and identify the type and the location to separate the fault and return the power system to its normal as soon as possible. Because the required time to know the location of the fault along the transmission line will affect the quality of power distribution, and for this, we find that the speed of determining the fault location will provide time for repair and maintenance of the transmission line in which the fault was occurred in the system in order to restore and distribution of electric power transmission. The detecting of disturbance that occur in power systems are necessary to cut in the distribution of electric power to consumers [2]. Faults are classified into two types: 1. Symmetrical Faults [3]: these that occur because of the short circuit of the current of the three phases and they are most influential types of faults that effect on the system and less occurred. The appropriate percentage of occurrence of this fault – 3% 2. Non-symmetrical Faults [3]: they are usually several types IJOART