An Analysis Of Various Control Schemes For Multiarea LFC

Authors: Reena Chauhan, Dr. Charu

Abstract: Automatic generation control, often known as AGC, is necessary in order to ensure that a power system network operates in a consistent manner. The LFC is primarily responsible for controlling the output of the generator in response to changes in the tie-line power and the frequency of the network. Some examples of this include reestablishing the frequency that was intended and exchanging power with other sites within the parameters that were previously established. In this work, the performance of several load frequency control techniques is compared using secondary controllers. These controllers include proportional plus integral plus derivative (PID), integral double derivative (IDD), model predictive control (MPC), and fuzzy cascaded PID. Through the use of a generation rate constraint (GRC), the study is carried out for thermal reheat systems that consist of three areas as well as five areas. A well-known optimization technique known as Big Bang Big Crunch (BBBC) is used in order to ascertain the optimal gains for PID controllers. In order to evaluate the responsiveness of the controllers, a number of different load perturbations in a number of different places have been taken into account. On the basis of settling time, overshoot, and undershoot, it has been able to make comparisons between the results. In every scenario, with the exception of a few peaky oscillations in responses, it is seen that fuzzy cascaded PID works better than other controllers, notably in terms of settling time. This is the case regardless of the conditions. Furthermore, in contrast to conventional controllers, the fuzzy cascaded PID controller has a greater degree of flexibility and durability.