Frequency Stability Enhancement in Low-Inertia Power System Using an Optimal Control Scheme
Conference
Ali, O, Mohammed, OA. (2023). Frequency Stability Enhancement in Low-Inertia Power System Using an Optimal Control Scheme
. 10.1109/EEEIC/ICPSEurope57605.2023.10194829
Ali, O, Mohammed, OA. (2023). Frequency Stability Enhancement in Low-Inertia Power System Using an Optimal Control Scheme
. 10.1109/EEEIC/ICPSEurope57605.2023.10194829
Power system dynamics have significantly changed with the global integration of renewable energy sources (RESs). Traditionally, the stored kinetic energy is used for compensating the generation mismatch using the rotating mass of the Synchronous Generators (SGs). With the increase in RESs penetration, SGs are being replaced by inverter-based RESs generation systems which are decoupled from the power systems through power converters. Therefore, the total inertia of the system has decreased, and the system's stability is significantly impacted as the value of the rate of change of frequency (ROCOF) and frequency deviations will be increased. To overcome these challenges, inertia emulation from various energy storage systems (ESS) is used to act as a virtual source of inertia power. This work presents an isolated microgrid (MG) that includes conventional power generation sources and RESs, and an optimal virtual inertia (VI) control loop is proposed for frequency stability enhancement. Supercapacitors (SC) bank with a PID controller presents the VI control loop and acts as a supplementary source for inertia power to support the frequency stability of the system. A genetic algorithm (GA) is used as an optimization technique to get the optimal values of the PID controller gains. The performance of the islanded MG with the proposed optimal control scheme is examined under different operating conditions with varying levels of RESs penetration and system parameters uncertainties. The proposed technique showed its effectiveness and robustness over the system's operation without VI control for keeping the system stable under different operating conditions.
