INTELLIGENT LOAD FREQUENCY CONTROLLERS FOR POWER SYSTEMS WITH THERMAL AND PHOTOVOLTAIC (PV) GENERATIONS

Abstract

This thesis presents a comprehensive investigations of load frequency control (LFC) of a two-area interconnected power system consisting of plants with thermal and photovoltaic (PV) power generations. The two power systems areas are interconnected via AC transmission lines. The LFC regulators for the power system are designed using optimal control concept based on full state feedback control technique. Also, intelligent PID structured LFC regulators using Firefly Algorithm (FA), Genetic Algorithm (GA) and Fuzzy Logic Control (FLC) are designed. These regulators are implemented in the system considering step load disturbance in one of the power system areas. The dynamic system response plots are achieved with designed LFC regulators to investigate their effectiveness in mitigating the frequency and tie-line power deviations resulting out from the step load disturbance in the system. The dynamic response plots so obtained with various LFC regulator designs are compared under similar operating conditions. From the investigations carried out, it is inferred that the gains of optimal LFC regulator based on optimal control concept using full state vector feedback control technique are considerably larger as compared to those of gains achieved using FLC, FA and GA. The FA, GA & FLC based LFC regulators are capable to mitigate the frequency and tie-line power deviation in both areas caused due to load disturbance. Finally, FLC based LFC regulators have demonstrated to be the better choice for implementation for the power system model under investigation as compared to other designs of LFC regulators carried out in the study.