| Abstract |
Power system grids face a myriad of problems and load fluctuations on a daily basis. These problems can affect the dynamic balance between power generation and total consumption, as well as losses. If this balance is violated, a frequency deviation will occur, which will worsen the quality of electricity on the consumer's side, and there will also be a change in the planned exchange of power between the controlled zones. This can lead to system separation and undesirable effects. From here, the load frequency control (LFC) shines and plays a vital role to solve these problems. Though it is not an easy task and there are difficulties for designers when dealing with the problem of LFC. These difficulties are represented in the tuning of controller parameters, uncertainty in power system parameters and nonlinear performance of power system such as generation rate constraints (GRCs), governor dead bands (GDBs), (communication time delays) and its parameter uncertainties. Several types of controllers can be used in LFC problem, the most popular of them is Proportional, Integral, Derivative (PID) or so called three term controller which can be considered the most used controller in the industry. In the other hand, Fractional-order proportional, integral, derivative (FOPID) controllers which can be described as a generalization of the conventional PID can provide better performance for LFC as it provides more degree of freedom. In this thesis, different meta-heuristic algorithms are used to design a proper LFC to enhance the dynamic performance of the system and provide parametric uncertainty robustness. |
