IMPROVEMENT OF POWER SYSTEM DYNAMIC STABILITY INCLUDING WIND FARM INTERCONNECTED MULTIMACHINE SYSTEM

Abstract

Wind farms influences dynamic performance in power system and so wind energy penetration in power grid has increased tremendously over the time. The wind farm performance now became a concern such as to make appropriate stability analysis and their system models. This study aids to develop stability for the power system model in which aggregated wind machines like induction machine and conventional machines like synchronous machine operate together. The developed model is to be tested using stability analysis techniques such as state space matrix system, eigen solution method and time domain response. In the system the induction generator operating with a synchronous generator is proposed and compared with a synchronous-synchronous generator model. The results of time domain response for both generator models show the effective operation of proposed model. Recently, particle swarm optimization (PSO) technique appeared as a promising algorithm for handling the optimization problems. PSO based power system stabilizers (PSS) controllers on synchronous generators linked with wind power generation is also considered to improve the performance of the system by damping the power system oscillations.