STUDI INFERENSI FUZZY TSUKAMOTO UNTUK PENENTUAN FAKTOR PEMBEBANAN TRAFO PLN

Abstract

The growing technology of electrical power makes monitoring and diagnosis on electric power system becomes very complex. One of the strategic components of the power system is the transformer. Disruption of the transformer can cause burning of the transformer and the transformer performance to decrease. Therefore, maintenance and detection of damage to the transformer needs to be done regularly so that the transformer can work within the period of maximum usage. The problem is the substantial costs required to bring an expert in transformer maintenance and inspection on a regular basis, in addition to damage to the transformer which would also lead to large losses. Based on these issues is necessary to develop software with capabilities equal or close to an expert diagnosis of a transformer with high accuracy and speed of maintenance on the transformer before the damage occurred. Tsukamoto fuzzy inference studies for the determination of the transformer load factor PLN is a software that can be used to detect other types of disturbances in distribution transformers PT PLN so that maintenance can be carried out according to the type of damage or disturbance that occurs in the transformer. This application is equipped with a transformer load calculation, load imbalance on trafo.Variabel inputs used in determining the load transformer and load imbalance on the transformer rated current of each phase is the transformer, the voltage value of each phase, the value of the power factor and transformer capacity. Keyword: Expert system, Tsukamoto fuzzy , Transformer.