An adaptive control strategy for grid-forming of SCIG-based wind energy conversion systems

• Published in: Energy reports 2023-11, Vol.10, p.114-122
• Main Authors: Sotoudeh, Adel, Rezaei, Mohammad Mahdi
• Format: Article
• Language: English
• Subjects: Load side converter (LSC); Lyapunov function method (LFM); Machine side converter (MSC); Nonlinear control; Squirrel cage induction generator (SCIG); Wind energy conversation system (WECS)
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2023.06.030

One of the crucial issues in the expansion of isolated wind energy conversion systems (WECSs) is the design of a grid forming control structure that is robust to changes of the system’s operating point in the steady-state as well as transient conditions. This paper has addressed the voltage/frequency control of a local microgrid as well as flux and slip control of a squirrel cage induction generator that feeds the microgrid via a back-to-back converter in an isolated WECS. An adaptive nonlinear voltage control structure has been proposed for load side converter (LSC) consists of a constant frequency voltage regulator and a current controller based on the Lyapunov function method (LFM), which are connected in cascade. In an outer loop, the reference current of LSC is generated by the voltage regulator designated for maintaining the voltage/frequency of the microgrid. In an inner loop, the reference signals are robustly tracked by the current controller. In a novel reference frame that its angle difference with the stationary reference frame is determined by a dual loop DC link voltage controller, an LFM-based nonlinear flux controller is proposed for the machine side converter (MSC). Using the proposed flux control structure, in addition to maintaining the flux magnitude at a nominal value, by controlling the generator slip through adjusting the speed of the proposed reference frame, the power balance is established and the DC voltage is maintained at a pre-set value. The performance of the proposed controllers has been investigated through simulation in the MATLAB® software. The obtained results confirm the robustness and stability of the proposed control structure with respect to various disturbances and uncertainties.