Published Paper Details:

In an interconnected power system, as a power load demand varies randomly, both area frequency and tie-line power interchange also vary. The objectives of load frequency control (LFC) are to minimize the transient deviations in these variables (area frequency and tie-line power interchange) and to ensure their steady state errors to be zeros. When dealing with the LFC problem of power systems, unexpected external disturbances, parameter uncertainties and the model uncertainties of the power system pose big challenges for controller design. The problem of selecting and tuning the parameters of a load frequency controller using Craziness Based Particle Swarm Optimization is discussed in this thesis. The proposed method has been applied to a two area thermal reheat power system with governor dead band. Optimum proportional and integral controllers using the concept of Particle Swarm Optimization have been obtained. Simulation results confirm the designed control performance of the proposed control. The results show that the obtained optimal PI-controller improves the dynamic performance of the power system. This work is done using MATLAB/ SIMULINK 7.12 software.