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The Automatic Generation Control shares an objective to regulate the active power production according to the different power requirements, thus maintaining the expected energy flow and frequency in the network itself by connecting the desired control areas with power connection. A sudden change in energy can affect the magnetic currents in various motors and also cause instability in various electrical systems. In a modern and complex energy system, AGC plays an essential role and becomes an essential element in ensuring high quality energy supply to consumers, regardless of constant fluctuations in energy demand. When there are load fluctuations in the power grid, AGC plays a key role in maintaining optimal power exchange levels and grid frequencies while taking into account disturbance caused by load peaks. Therefore, to provide standard performance, the AGC system requires an intelligent efficient controller. The performance of different controllers depends on the choice of controller parameters used as well as the specific optimization algorithms. In literature research, the design and research of AGC has been further improved using advanced control strategies and intelligent metaheuristic strategies. Therefore, many researches have been conducted worldwide to provide many new control strategies to effectively solve the AGC problem. The centric goal of the proposed work is to study the concept of Automatic Generation Control while considering concept of area control with their respective simulations.
Wadhwa et al. (Thu,) studied this question.