Design of a robust nonlinear controller for a synchronous generator connected to an infinite bus

Abstract

This article presents a new design of robust finite-time controller which replaces the traditional automatic voltage regulator for excitation control of the third-order model synchronous generator connected to an infinite bus. The effects of system uncertainties and external noises are fully taken into account. Then a single input robust controller is proposed to regulate the system states to reach the origin in a given finite time. The designed robust finite-time excitation controller can refine the system behaviors in convergence and robustness against model uncertainties and external disturbances. The robustness and finite-time stability of the closed-loop system are analytically proved using the finite-time control idea and Lyapunov stability theorem. The suitability and robustness of the designed controller are shown in contrast with two other strong nonlinear control strategies. The main advantages of the proposed controller are as follows: a) robustness against system uncertainties and external noises; b) convergence to the equilibrium point in a given finite time; and c) the use of a single control input. V C 2015 Wiley Periodicals, Inc. Complexity 21: 203-213, 2016

Fuzzy Proportion and Integral Control of Synchronous Generator

“…Recently, AVR design with advanced control technologies has been extensively researched [9][10][11]. However, many of these strategies lack one or more of the three basic and important features that an AVR used in engineering fields should have, e.g., easy implementation, low computation burden and good performance over full operating range.…”

Output feedback dynamic tracking excitation control of synchronous generators

“…It is widely known that conventional linear controllers such as automatic voltage regulators and power system stabilisers exhibit acceptable performance around certain operation conditions of a synchronous generator [1–3]. In fact, the present way of designing conventional control schemes for generation units is generally based on linearised mathematical models of the system dynamics [3–5]. Inherent non‐linear complex nature of electric power systems restricts these traditional control devices to an operation small neighbourhood where the system dynamics can be conveniently approximated by a linear mathematical model.…”

“…Inherent non‐linear complex nature of electric power systems restricts these traditional control devices to an operation small neighbourhood where the system dynamics can be conveniently approximated by a linear mathematical model. Thus, traditional linear excitation controllers can be employed to inject damping and ensure the stability of a specific equilibrium operation state of the system [3]. Commonly, feedback control strategies use velocity and load angle measurements to provide sufficient damping to reduce harmful electromechanical oscillations below acceptable attenuation levels.…”

“…Diverse valuable non‐linear excitation control approaches have also been proposed for regulation tasks mainly. Sliding modes, neural networks, self‐tuning regulators, passivity‐based control, fractional calculus, exact linearisation and adaptive control are some design methodologies that have been applied to the robust excitation regulation problem for synchronous generators (see [3–12] and references therein). Most of the non‐linear excitation controllers are based on simplified mathematical models, known constant mechanical power input, available system parameters, real‐time estimation of the state variables and, possibly, disturbances as well.…”

Dynamic Safety Assessment in Nonlinear Hydropower Generation Systems

“…Hydropower generation system (HGS) coupling with hydraulic-mechanical-electrical-magnetic nonlinear structures acts as a core part of a hydropower station, which is connected with the stability of the station [3][4][5][6]. Many safety accidents of the HGS occurred in the last thirty years all over the world [7][8][9].…”