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This article presents a feedback linearization based controller design methodology for a unified power flow controller to achieve rapid reference signal tracking in the internal control level. Feedback linearization is a non-linear control technique based on the differential geometry theory and overcomes the drawback of traditional linear proportional-integral control, which is typically tuned for one specific operating condition. In this article, feedback linearization control is developed for the unified power flow controller dynamic model via an appropriate coordinate transformation, and linear quadratic regulator control is then applied on the transformed linear system. The proposed control is validated via a detailed device-level simulation on an 11-bus system and a large scale simulation on the IEEE 118-bus and 300-bus systems. The proposed control is benchmarked against proportional-integral control. [ABSTRACT FROM PUBLISHER]

A new internal STATCOM control based on feedback linearization is proposed. The feedback linearization controller is developed without any simplifying assumptions to the STATCOM model. The proposed control is validated on the IEEE 118-bus system with full-order generator and network models as opposed to a small test system. Furthermore, the proposed control is benchmarked against published results. Lastly controllability issues associated with a singularity in the feedback linearization control (FBLC) coordinate transformation is identified, and a solution is provided to avoid instability. [ABSTRACT FROM AUTHOR]

Transient control performance of power systems is extremely important, especially during the recovery stage from a system temporary fault. A large power angle error or generator relative speed could result in unrecoverable failure or system damage. In this study, a class of novel excitation controllers is proposed for power systems to place user‐defined time‐varying constraints on the system errors. First, the direct feedback linearisation technique is employed to transfer the original non‐linear system to a linear one. An error transformation method is introduced to generate a new non‐linear system, whose stability ensures that the time‐varying constraints on the original system are satisfied. Thus, a backstepping‐based excitation control methodology is designed for ideal case by assuming all system parameters are known. Thereafter, the uncertainties of system dynamics are also considered and compensated by designing an adaptive excitation controller. By utilising the standard Lyapunov synthesis, the closed‐loop system is proved to be asymptotically stable, and all the other signals are bounded for the two control schemes. Furthermore, the system transient performance can be shaped arbitrarily with predefined trajectories, in the sense that the system errors never cross certain boundaries during transient phase. Eventually, extensive simulation studies demonstrate the feasibility of the theoretical results. [ABSTRACT FROM AUTHOR]