Extended State Observer Based-Backstepping Control for Virtual Synchronous Generator

Abstract

The penetration of distributed generators (DGs)-based power electronic devices leads to low inertia and damping properties of the modern power grid. As a result, the system becomes more susceptible to disruption and instability, particularly when the power demand changes during critical loads or the system needs to switch from standalone to a grid-connected operation mode or vice versa. Developing a robust controller to deal with these transient cases is a real challenge. The inverter control method via the virtual synchronous generator (VSG) control method is a better way to supply the system’s inertia and damping features to boost system stability. Therefore, a nonlinear control strategy for VSG with uncertain disturbance is proposed in this paper to enhance the system stability in the islanded, grid-connected, and transition modes. Firstly, the mechanical equations for a VSG’s rotor, which include virtual inertia and damping coefficient, are presented, and the matching mathematical model is produced. Then, the nonlinear backstepping controller (BSC) method combined with the extended state observer (ESO) is constructed to compensate for the uncertainty. The Lyapunov criteria were used to prove the method’s stability. Considering the issue of uncertain items, a second-order ESO is built to estimate uncertainty and external disruption. Finally, the suggested control strategy is validated through three simulation experiments; the findings reveal that the proposed control method has an excellent performance with fast response and tracking under various operating situations.

Editorial: Advances in Stochastic System Modeling, Control, Optimization, and Their Applications

“…Ref. [6] A robust controller was designed to deal with transient dynamics of distributed generator (DG)-based power electronic devices. In this study, a nonlinear control strategy for VSG with uncertain disturbance was proposed to enhance the system's stability in the islanded, grid-connected, and transition modes.…”

Adaptive Neural Trajectory Tracking Control for Synchronous Generators in Interconnected Power Systems

“…Other approaches based either on model or measurements have demonstrated their applicability in systems. However, their performance is limited by the model utilized and the parameters of the system under test [22,23]. In addition, the complexity of the control design stage might substantially increase if modifications in grid topology are presented; moreover, the controller behavior could be degraded.…”

“…These dynamic requirements must be largely guaranteed by auxiliary control elements of SG with a suitable regulation strategy. Therefore, new control strategies must interact in a positive way with the current controllers with less dependency of model and parameters of components in the power system [23].…”

Design and Analysis of the Model Based Control System for an MRE Axisymmetric Actuator

“…Due to the wide range of robustness to unknown dynamics, the Active Disturbance Rejection Control (ADRC) has becomes popular [8][9][10][11][12][13]. It consists of an extended state observer, which was successfully applied to many problems [14] and feedback controllers. Another well-analyzed solution is to apply a Linear Extended State Observer (LESO) and linear feedback controller with disturbance rejection.…”