Fuzzy Logic Based Electricity Theft Identification in Distribution Systems

Electricity consumer dishonesty is a major problem faced by all power utilities. Finding proficient measurements for detecting duplicitous electricity consumption has been a dynamic research area in recent years. This paper deals with Neuro-Fuzzy logic based electrical power theft detection, the quantity of theft power, finding the exact location of theft zone and controlling of theft in the location. The implementation of this proposal in a most efficient manner is to develop a Neuro-Fuzzy algorithm based electricity theft monitoring system which comprises PIC microcontroller and interfacing circuits on the entire location and which is installed at Electricity Board. It is well planned at the verdict out of theft information exhibited by the PC. This technique is proved in this paper as a simple way to detect electrical power theft without any human interface. Citation: S. Palaniyappan. "Fuzzy Logic Based Electricity Theft Identification in Distribution Systems." Global Research and Development Journal For Engineering 4.4 (2019): 13 - 18.