Al-Gbur, Fadhaa Zaid KhalafAl Yosif, Rasha Khalied LrehaemHamodat, Zaid2022-08-082022-08-082022Al-Gbur, F. Z. K., Al Yosif, R. K. L., Hamodat, Z. (2022). Voltage stability control in hybrid systems using AI. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE.9781665468350https://hdl.handle.net/20.500.12939/2800This paper presents an optimization-based strategy for increasing the voltage stability of power systems while needing fewer measurements. By using a Ward reduction-based network that collects data only from critical locations, it is possible to increase the system's overall loadability, hence improving overall performance. A hybrid state estimator is used to more accurately estimate the system states of the reduced network by taking into account recent changes in the surrounding environment. Utilizing a predictive-corrector primal-dual interior point approach, it is important to improve the loadability margin over a specific critical margin. Gauss-Newton optimization is used to compare the optimized voltages to the objective values in order to establish the control settings. When combined with the aforementioned methodologies, the IEEE 30-bus and IEEE 118-bus test systems have shown success.eninfo:eu-repo/semantics/closedAccessAIDESEMSPVConference Object2-s2.0-85133961294N/A