Abstract:

Generally, for a twoarea interconnected system, the frequency and the tie line power changes due to change in load at variable time. The change in the frequency is not desirable for any interconnected system which leads to damage of elements causing severe problems. Hence Automatic Generation Control is used to stablethe frequency and tie line power of the system. However, the Automatic Generation Control of the system takes certain time to settle the values which is called Settling time. Aiming to reduce the settling time of the change in the frequency, The Particle Swarm Optimization is used. The Particle Swarm Optimization recursively optimises the values of the parameters of the controllers used in the twoarea interconnected system using fitness function. The values of the parameters that are obtained in the recursive process at the maximum time provided are considered the final values with least error. The Particle Swarm Optimization employs in reducing the settling time of the frequency. The settling time in Particle Swarm Optimization based automatic generation control is less when compared to conventional Automatic Generation Control. In this technique, the parameters of PID Controllers are set to distinct variables such that the values changes and converges towards the optimal value for every iteration. The demonstration and comparison of Automatic Generation Control using PSO algorithm and conventional control is done through this project.The results of the proposed method are demonstrated through MATLAB simulations.

Description:

Particles, Controller, PSO Algorithm