[This article belongs to Volume - 39, Issue - 04]

Fuzzy Logic Based Power Factor Repair System Using PZEM004T and Internet of Things

Variative electrical loads such as lighting, heating, and electric motors, often result in low power factor. Low power factor results in increased electric current. The increase in electric current results in an increase in service capacity such as current limiters, transformers used, conductor size, and others. Inductive power factor can be improved by installing appropriate capacitors. So far, the installation of capacitors still uses manual methods that have not implemented automatic control and can be controlled remotely. The selection of capacitor prices is still done by try and error, not using systematic and logical thinking algorithms. A combination of power factor improvement and voltage and current monitoring is required. This research aims to propose a power factor improvement system that helps control and monitor electrical loads using an IoT-based dashboard display and has implemented fuzzy logic. The fuzzy logic controller is used to calculate the input parameters (power factor) and to generate capacitor status output. The method used is through the Analysis, Design, Development, Implementation, Evaluation (ADDIE) approach. The results showed that this system is able to increase the efficiency of the use of electrical energy both in terms of improving the power factor and in terms of monitoring, the fuzzy logic system is able to select and determine which capacitor is suitable to be connected to a predetermined range of power factor parameters (Very Low, Low, Medium, High) and is able to monitor using smartphones, laptops, tablets, or computers. The impact of this research if applied in industry is expected to be able to improve the power factor which has an impact on reducing the current so that the capacity of electrical equipment can be much more economical.