Mitigation of SSCI-driven complex oscillations using dynamic virtual impedance based control

It is widely recognized that subsynchronous resonance (SSR) and control interactions (SSCI) in a power network with doubly fed induction generators (DFIGs) lead to distinct types of oscillations and that mitigating these oscillations in finite time is essential for reliable operations. Among the control approaches proposed for mitigating these oscillations, the incorporation of damping control (DC) in the dq control scheme of DFIGs is considered cost-effective and reliable. However, DC exhibits inadequate performance when the oscillations emerge with complex and non-stationary components, presenting an unascertainable bandwidth of modes. To facilitate the DC-assisted DFIG control with adaptivity to variant modes of oscillations, this paper proposes the incorporation of a single-layer feed-forward learning-based damping control strategy. The approach dynamically responds to any SSR or SSCI event and reshapes the impedance to prevent the initiation of oscillations in finite time. The viability of the proposed approach is proved by simulations and various test cases, and these demonstrate the feasibility and applicability of the proposed approach to real-world application for the first time.