Automatic Generation Control of Multi Area Power Systems Using BELBIC

The goal of this review article on automatic generation control studies is to offer both a thorough analysis of the literature and a sizable bibliography. It has been addressed to use various methods for controlling frequency and power. Different power generating sources, including conventional, renewable energy sources, and realistic Renewable Energy Sources (RES), are taken into account in both regulated and uncontrolled situations when discussing various linear and non-linear power system models. Several secondary controllers with integer order, fractional order, intelligence, cascade, and a few recently used controllers are also briefly explained in the AGC literature. In this record, the subject of load frequency regulation received considerable attention. A multi-area, connected power system still has a serious LFC issue. For LFC in power systems, numerous control strategies have been put forth in recent years. This essay offers a comprehensive review of the LFC literature. Excellent control action, disturbance handling, and robustness of system parameters are all characteristics of the proposed controller Brain Emotional Learning Based Intelligent Controller (BELBIC). It has been used in the field of control because of its exceptional effectiveness and simplicity of application. A power system that is subjected to disturbance variation change and system-inherent nonlinearity will be the subject of the simulation results, which will be obtained using MATLAB. To prove that the suggested designed controller works as intended.