Abdillah Fashiha Ilman, Mohammad Jauhari, Dzulkiflih, Mohammad Nur
Electrical energy is a source of energy which is currently a basic requirement in life today. Electrical energy is generated at the power plant site and then distributed to customers. Viewed from another perspective the increase in the use of electricity in Indonesia is very rapid every year, and this data is directly proportional to the electrification ratio that has been targeted by theState Electricity Company (PLN) which here is an Indonesian state electricity company. The state electricity company (PLN) is also targeting the PLN electrification ratio to reach 100% by 2024, automatically the level of disturbance that will be caused to the low voltage level system will also increase, this is the rate of fire occurrence is very large. With such a large number of customers, it can cause many problems starting from the customer and PLN side. The fault that often occurs at low voltage levels, namely arc-fault (short circuit) and can also overload. This is due to the lack of protection used, in this case, the protective equipment used by the MCB. However, the reality isthat the equipment only works when the load is over. From this background, this study will make equipment for detecting series arc-faults on the low-voltage side based on the internet of things by using the characteristics of the interference signal obtained for analysis. So that the case of series arc-faults that cause fires can be reduced. © 2020 IEEE.
Industrial Electrical Engineering Politeknik Negeri Madura (POLTERA) Jl, Raya Taddan Km. 4, Sampang, Indonesia; Industrial Electrical Engineering Politeknik Negeri Madura (POLTERA), Indonesia; Universitas Negeri Surabaya Jl Ketintang, Physics Department, Surabaya, 60321, Indonesia
