Automatic Power Factor Correction Using Fuzzy Inference System And Internet Of Things

There are 3 types of electrical loads: inductive, capacitive and resistive. Most of what happens in the use of electricity is inductive load. This inductive load arises because many electricity consumers utilize loads that use coils. The excessive inductive load will cause the appearance of a low power factor value. A good power factor value is 0.85-1. This research aims to improve the low power factor value, the use of capacitors installed parallel to the load can compensate for reactive power and increase the power factor value. How much capacitor value should be installed to obtain a good power factor. There are 2 kinds of calculations carried out, namely without using a Fuzzy Inference System and using a Fuzzy Inference System. The calculation results are compared with the measurement values. Then, the Mean Absolute Error value obtained if without using the Fuzzy Inference System is 8.500% and if using the Fuzzy Inference System has a Mean Absolute Error value of 4.060%. Therefore, the capacitor value calculation system using the Fuzzy Inference System can be proposed to be applied to the use of an automatic system to increase the power factor value.