Frequency Control of Interconnected Power System Utilizing Novel Optimization Approaches

Electrical power systems nowadays are complex and interfered with each other in areas and divisions. In order to link multiple areas of power systems, an Automatic Generation Control (AGC) is required to control voltage and frequency. The control on frequency is affected by load change in the areas of power systems. Load Frequency Control (LFC) is mandatory to maintain system stability and efficiency. In this paper, three classical controllers are applied to a two area LFC system with a target of error minimization by Integral Square Error (ISE) function. The three controllers are Fractional Filtered PID Controller (PIDNF), Fractional Filtered FOPID Controller (FOPIDNF), and Sigmoid PID Controller (SPID). These controllers are tuned by novel optimization algorithms which are Giant Trevally Optimizer (GTO), Tasmanian Devil Optimizer (TDO), and Zebra Optimization Algorithm (ZOA). The best optimization results were obtained from the GTO-SPID controller combination.