IEDs track non-harmonic sub-synchronous frequencies, locate their source direction, and trigger load mitigation to keep power grids stable.
By tracing meshed networks into line trees and detector-equipped paths, faults can be located with less engineering effort and cost.
Real-time PSS tuning uses clustering, deep learning, and whale optimization to damp low-frequency oscillations and stabilize power networks.
A stator-current-based damping command offsets negative resistance in DFIG inverter resources to suppress sub-synchronous grid oscillations.
Fuzzy clustering, deep learning, and whale optimization tune PSS parameters in real time to damp low-frequency grid oscillations.
Distributed frequency sensing estimates center-of-inertia speed to damp local and inter-area oscillations in low-inertia power grids.
Adjusting rise and fall times in a tuning loop cuts switch-node voltage ringing and EMI without the usual efficiency penalty in power converters.
Nonlinear excitation current feedback suppresses DC magnetic bias in hybrid distribution transformers without added flux sensors.
Active filtering with a VOC inverter suppresses grid harmonics without phase-locked loops, cutting calculation burden and improving stability.
d-q axis current compensation stabilizes grid-connected inverters across control strategies without extra equipment or major redesign.
An iterative time-domain estimator derives radius and phase angles without rotating-frame transforms, improving AC network stability and power quality.
Reactive power commands are monitored for oscillations, then volt-var gains are reduced to keep inverter-based wind farms stable.
A nonlinear Droop-e response lets grid-forming inverters deliver more power with smaller frequency deviations and better grid stability.
A timing deviation handling unit evaluates time stamp accuracy for wide area power transmission synchronization.