Power system frequency stability using optimal sizing and placement of Battery Energy Storage System under uncertainty

In the literature, a variety of system uncertainty is not included in the frequency stability research. This research demonstrated that employing the probabilistic frequency stability analysis approach which accounts for the uncertainty of system parameters such as loads and generation uncertainty, resulted in a more accurate frequency stability assessment when compared to the deterministic technique. Additionally, this study proposes a framework for determining the optimal size and placement of Battery Energy Storage System (BESS) in power systems while taking into account the uncertainty associated with system generation and demand, as well as intermittent generation sources and contingency locations which have been rarely considered in the literature. The novelty of these methods is that they determine the optimal BESS size and placement based on the amount and location of the critical system loads. The methodologies have been validated using IEEE 39-bus and simplified SE-Australian power systems where the simulations were implemented using DIgSILENT/PowerFactory software with Python interface. The simulation results revealed that the optimal BESS size should not be equal to more than 4.5% from the system loads amount while the optimal BESS placement was acquired when the BESS are placed closer to around 30% of the system loads. Furthermore, by investigating the impact of the contingency and wind farm locations on the optimal BESS size, the contingency location had the greatest impact on the BESS properties, while the wind farm locations provided a negligible impact. •Investigating the impact of considering the power system uncertainty on the frequency stability assessment.•A proposed framework for obtaining the optimal BESS size based on the system loads amount while considering various of power systems uncertainty.•A proposed methodology to obtain the optimal placement for BESS based on the amount and locations of critical system loads.