Adaptive stabilization for generator excitation system

Abstract

PurposeThe purpose of this paper is to develop a controller for damping of oscillations of a synchronous generator connected to the electric network. The goal is to determine the configuration of the controller and to set up the procedure for determination of the controller parameters.Design/methodology/approachOn the basis of the analytical and numerical analysis of the so‐far proposed stabilizers, the new directions towards improved and efficient stabilizer have been established. The advantage of the proposed approach has been confirmed with simulations and experimental results.FindingsThree main contributions can be highlighted: on the basis of the synchronous generator analysis, it is shown that the conventional power system stabilizer is inappropriate for optimal oscillation damping through the entire operating range; the possibility of application of the model reference adaptive control theory for stabilizer design is confirmed; and the rules have been set up for selection of the stabilizer parameters.Research limitations/implicationsThe power system control is rather conservative and does not allow new approaches to the control concepts.Originality/valueThe paper's originality lies in the fact that the proposed adaptive approach for realizing the control system for damping of oscillations is presented completely. The configuration of the controller is presented, as well as the method for determining the adaptation mechanism parameters.

Adaptive and robust controls for static excitation systems

“…However, their advantage is not requiring explicit identification of the SG and are therefore computationally less demanding. In this paper, developed robust PSS will be compared with direct adaptive PSS, which was studied in details in Ritonja (2010). The theoretical foundation for direct adaptive PSS is represented by a theory of model reference adaptive control for almost strictly positive real plants.…”

“…In recent 45 years, we are witnessing intense development of control theories. Due to increased interests for improved solutions for stabilization of SG, almost all new control theories were tried to be utilized (Ritonja, 2010). The problem incorporates various specifics, such as, for example: limited access to measured quantities, availability of only one generator's input for control, saturation of a control actuator, soft and hard non-linearities in a control plant and highly strict requirements for safe operation of the control system.…”

“…In this way, it ensures optimum operation in the entire operating range. There exist numerous adaptive concepts, which can be in general divided into two groups, such as (an overview in Ritonja, 2010):…”

Self-Tuning Control for Synchronous Machine Stabilization

“…For the SG stability analysis, parameters K1 to K6 are not sufficiently transparent [5]. The linearized model of SG with AVR, shown in (1) and (2) is a 4 th order linear model whose a characteristic polynomial has 4 eigenvalues.…”

Delay margin computation of generator excitation control system by using fractional order controller

“…Linear-time invariant, time delayed fractional order systems’ stability analysis by using LMI approach is investigated in Pakzad and Pakzad (2015a, 2017). In adaptive stabilization for generator excitation system, the possibility of application of the model reference adaptive control theory for stabilizer design is analyzed in Ritonja (2011). For a synchronous generator excitation system, the design of cascaded integer order PID-fractional order PID controller by evolutionary multi-objective-based optimization approach is presented in Kumar et al (2018).…”