A Dynamic Genetic Algorithm Based Power System Stabilizer for Improving Small-signal Stability of Grid-Connected PV System

Integration of renewable energy sources into grids comes with numerous benefits to electric power systems, but also with challenges too. Thus, integration of Solar PV generators to the grid is attracting huge interest. This paper analyses the impact of integrating large-scale PV generation on power networks' small-signal stability. This led to the design of a dynamic genetic algorithm (DGA) based power system stabilizer for seamless PV integration into the grid. The responses of Single-machine infinite-bus system when PV system is integrated are analyzed and a dynamic GA based controller designed for improvement. Results obtained show that the proposed controller can significantly improve oscillation damping by 33.24% improvement in settling time thus enhancing overall system small-signal stability.