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Proceedings ArticleDOI

Stabilization of power system using variable structure output feedback control

Reyad El-Khazali, +2 more
- Vol. 1, pp 1183-1187
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TLDR
In this paper, a new output feedback variable structure power system stabilizer for a single-machine infinite-bus system is presented, where the stabilizer design is accomplished using extra dynamics in the form of a dynamic compensator.
Abstract
This paper presents a new output feedback variable structure power system stabilizer for a single-machine infinite-bus system The stabilizer design is accomplished using extra dynamics in the form of a dynamic compensator The method of equivalent control is used to describe the "augmented reduced order system" in the "sliding mode" Due to the reduction of order of the system in the sliding mode, the order of the compensator is usually less than the order of the compensator given by the Kimura-Davison formula A numerical example is worked out and the performance of the machine is investigated using different stabilizers to illustrate the effectiveness of the proposed design

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Citations
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Journal ArticleDOI

Discontinuous controller for power systems: sliding-mode block control approach

TL;DR: Based on the complete model of the plant, a sliding-mode stabilizing controller for synchronous generators is designed and the block control approach is used to derive a nonlinear sliding surface, on which the mechanical dynamics are linearized.
Proceedings ArticleDOI

Decentralized sliding mode block control of power system

TL;DR: Based on the complete model of the plant, a sliding mode stabilizing excitation controller for multimachine power system, which enables to compensate the inherent nonlinearities of the generator and to reject high level external disturbances.
Proceedings ArticleDOI

A comparison of nonlinear controllers on a single generator-infinite bus power system

TL;DR: In this article, the use of nonlinear output feedback control schemes as power system stabilizers was explored and compared to a single generator-infinite bus power system in order to compare their behavior.
Journal Article

Comparison study of nonlinear controllers for a single generator-infinite bus power system

TL;DR: It is found in this article that the fuzzy and linear robust controllers had the best overall behavior with the least amount of control effort.
References
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Journal ArticleDOI

Concepts of Synchronous Machine Stability as Affected by Excitation Control

TL;DR: In this article, the stability of synchronous machines under small perturbations is explored by examining the case of a single machine connected to an infinite bus through external reactance, and the results are shown to be similar to ours.
Journal ArticleDOI

Applying Power System Stabilizers Part I: General Concepts

TL;DR: In this paper, the general concepts associated with applying power system stabilizers utilizing shaft speed, ac bus frequency, and electrical power inputs are developed in the first part of a three-part paper.
Journal ArticleDOI

A singular perturbation analysis of high-gain feedback systems

TL;DR: In this article, a singular perturbation approach is used to unify a class of classical and recent results on high-gain systems and to show their relationships with multivariable transmission zero analysis, cheap control problems, and sliding mode in variable structure systems.
Journal ArticleDOI

A note on pole assignment in linear systems with incomplete state feedback

TL;DR: In this article, it was shown that if rank C = l, and if (A,B) are controllable, then a linear feedback of the output variables u = K*y, where K*is a constant matrix, can always be found, so that l eigenvalues of the closed-loop system matrix A + BK*C are arbitrarily close (but not necessarily equal) to l preassigned values.
Journal ArticleDOI

A further result on the problem of pole assignment by output feedback

TL;DR: In this paper, a new result in the problem of pole assignment by gain output feedback is given, which states that arbitrary pole assignment is possible for almost all systems if n, r and m are the number of states, of inputs and of outputs, respectively, and ν and μ are the controllability index and the observability index of the system, respectively.
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