Under frequency load shedding (UFLS) is a method to tackle frequency drop caused by power deflection due to overloading the network or losing generation unit (Islanding). This deflection leads to imbalance of the consumption-generation power in the electric power system. UFLS aims to protect the electric power system against a blackout when a severe disturbance occurs. Decentralized UFLS schemes remove a pre-specified amount of load after a pre-determined time delay without considering the disturbance location or dip in bus voltage.

Recently, most researchers study an adaptive UFLS. This study introduces an implementation of simulated, centralized, and automated adaptive UFLS scheme based on Internet of Things (IoT) technology. It estimates the total amount of load to be shed based on the rate of change of frequency, and then suitable loads are chosen to be shed among load buses according to the voltage dip at them, and equal to the estimated power deflection. The implemented scheme aims to restore the system frequency and voltage to their allowable limits. The results of the proposed technique will have expected to show adaptability and suitability for implementation in the modern industry.