Optimal design of two-area power system stabilizer for dynamic stability improvement using genetic optimization algorithm

The expansion of transmission networks has caused low-frequency fluctuations in the power system due to energy demand. If these fluctuations are not controlled, they can reduce productivity and cause system instability; therefore, it is important to optimize the parameters of the power system stabilizer. This optimization improves performance during disturbances. The article proposes using a genetic optimization algorithm to increase stability and performance of the power system. The optimal control parameters directly affect low frequency stability, making it an optimization problem. The advantage of using the genetic algorithm is its independence from the complexity of the performance index. The proposed method has been tested on a two-machine system having 3 buses in MATLAB and the obtained results show robust performance of power system under various conditions

Optimal design of two-area power system stabilizer for dynamic stability improvement using genetic optimization algorithm Keywords:

PSS design , genetic algorithm optimization , multi-machine system , power system dynamics , dynamic stability