Intelligent Optimization Techniques for Controlling Load Frequency of Interconnected Multiple Source Power Systems Including Renewable Energy Sources

Controlling the system frequency under load variation of multiple source power systems (MSPS), including renewable energy sources (RES), is a very difficult task for power system engineers. The LFC acts as a dynamic role in evaluating the performance of a MSPS. The system's complexity has been exacerbated by the use of several power generation sources, including RES. The paper presents a performance investigation of a two-area system that includes RES. Hydro, thermal, wind, and diesel power stations have been modeled and used in the test system. The algorithms set the constraints of a PID controller to provide controlling load frequency in an automatic manner of MSPS with RES. Intelligent optimization techniques are used to fine-tune the controller's parameters with constraints. The ITAE is used as an objective function. The PID Controller kept the deviation of frequency and tie-line power of the MSPS within acceptable limits. A two-area power system comprising of different energy sources was designed using the Simulink tool of MATLAB.