The growing number of renewable energy plants connected to the power system through static converters have been pushing the development of new strategies to ensure transient stability of these systems. The virtual synchronous generator (VSG) emerged as a way to contribute to the system stabilization by emulating the behavior of traditional synchronous machines in the power converters operation. This paper proposes a modification in the VSG implementation to improve its contribution to the power system transient stability. The proposal is based on the virtualization of the resistive superconducting fault current limiters’ (SFCL) behavior through an adaptive control that performs the VSG armature resistance change in short-circuit situations. A theoretical analysis of the problem is done based on the equal-area criterion, simulation results are obtained using PSCAD, and experimental results are obtained in a Hardware-In-the-Loop (HIL) test bench to corroborate the proposal. Results show an increase in the system transient stability margin, with an increase in the fault critical clearing time (CCT) for all virtual resistance values added by the adaptive control to the VSG operation during the short-circuit.
The increasing number of electronic loads has introduced several harmonics into the power system, leading to a growth in the importance of filters intended for their mitigation. Thus, it is important to have the knowledge to select operational limits of each new filter connected in the power grid. Likewise, obtaining these harmonics requires robust tracking systems that provide enough information for better filter selectivity. This paper proposes a selective harmonic active filter control based on Fourier linear combiner (FLC) algorithms for a three-phase electrical grid. The presented system is enabled to track each harmonic order and sequence components with great robustness, extracting positive, negative, and zero sequence information from each harmonic for further filter selectivity. It also proposes a new strategy to improve the FLC-based algorithms in tracking frequencies in power grid disturbances. Simulated results of the algorithm and a real-time simulation of a selective active power filter (SAPF) were presented, validating the performance in several scenarios.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.