Power system stability improvement considering drive train oscillations of virtual synchronous generator‐regulated type‐4 wind turbines

Abstract

The type‐4 wind turbine generators (WTGs) can provide inertial frequency response by implementing the virtual synchronous generator (VSG) concept. However, unstable torsional oscillations (TOs) would be induced in the multi‐mass‐spring drive‐train which can destabilize the entire power system. In this study, participation factor analyses are performed for a power system inclusive of a thermal unit and aggregated WTG system. The system's eigenvalues are characterized and the possible detrimental impacts of TOs on the inertia provision process and overall power system stability are demonstrated and the related stability limits are identified. A comprehensive active torsional oscillations damper (CA‐TOD) and a supercapacitor‐based energy storage system (ESS) are presented and discussed to implement the CA‐TOD. A state of charge (SoC) regulator is also employed to set the reference speed difference for the turbine‐generator. Small‐signal studies and electro‐magnetic transient (EMT) simulations are performed to evaluate the functionality of the CA‐TOD and SoC controller and estimate their impacts on the system's dynamics. The robust performance of the CA‐TOD is compared to the band‐pass filter‐based TOD by sweeping key control parameters of the VSG and emulating drive‐train parameter uncertainty. Key results are cross‐verified by EMT simulations of a multimachine power system.

Operational resilience metrics for power systems with penetration of renewable resources

“…The test system is the IEEE 39-bus system with type-4 wind turbines [29]. The system consists of 10 generation buses, 21 loads, 34 transmission lines, and 12 transformer branches.…”

Capacitor virtual inertia control and equivalent inertia analysis for a grid-forming wind generation system

“…So it can acquire the rotor excitation voltage control reference, and finally the generator's internal potential is established to realize GFM control, while the disadvantage of this method is that the fan cannot provide inertia support for the power system. Yazdi et al (2023) analyzed the coupling relationship between the power angle and rotor speed to elucidate rotor instability characteristics and the influence of control parameters and proposed a D-PMSG GFM frequency-supported control strategy considering rotor stability constraints, which enhanced system frequency stability under various disturbances. Meng et al (2023) presented a cooperative control scheme for wind farms, along with GFM energy storage devices installed on the AC side.…”