An optimal multivariable stabilizer for a multimachine plant

Fleming, R.J.; Sun, Jianhong

doi:10.1109/60.50806

Cited by 22 publications

(7 citation statements)

References 14 publications

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“…When performance is in the permanent state, if a sudden change happens, the system will go toward the disturbance. Investigation of the classic stability [5], the optimization method with the help of pareto multiobjective [6], the method of adaptive control [7], the nonlinear controller [8], using the parameters estimation [9], robust controller H2/H ∞ [10], the pole placement and application of the linear matrix inequality [11], fuzzy and Neural network control [12], and Evolutionary algorithm [13] are among the works which had been done. The problem of closed-loop identification of the Heffron-Phillips model parameters is of practical importance since the data used for identification can be gathered when the machine is normally connected to the power system [14].…”

Section: Introductionmentioning

confidence: 99%

Robust Multi-Objective Control of Power System Stabilizer Using Mixed H2/H∞ and µ Analysis

Fard

2018

IJECE

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<p>In order to study the dynamic stability of the system, having a precise dynamic model including the energy generation units such as generators, excitation system and turbine is necessary. The aim of this paper is to design a power stabilizer for Mashhad power plant and assess its effects on the electromechanical fluctuations. Due to lack of certainty in the system, designing an optimized robust controller is crucial. In this paper, the establishment of balance between the nominal and robust performance is done by the weight functions. In the frequencies where the uncertainty is high, in order to achieve to the robust performance of the controller, μ analysis is more profound, otherwise, in order to achieve to nominal performance, robust stability, noise reduction and decrease of controlling signal, the impact of the controller H2/H∞ is more profound. The results of the simulation studies represent the advantages and effectiveness of the suggested method.</p>

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Section: Introductionmentioning

confidence: 99%

Robust Multi-Objective Control of Power System Stabilizer Using Mixed H2/H∞ and µ Analysis

Fard

2018

IJECE

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“…So, selection of correct and adequate values is so vital. Since 1981, several approaches have been proposed for determining PSS controller's parameters in order to oscillation damping in power systems, such as artificial neural network, Pole placement, optimal control, adaptive control and variable structure control based on modern control theory [9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

Banaei

Toloue

Kazemi

et al. 2015

Ain Shams Engineering Journal

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In this paper, a linear model of power system equipped by HVDC parallel installed with HVAC is investigated. The HVDC system is mainly composed by voltage source converters (VSC-HVDC). So, there are four adjustable variables to control the power system characteristics. In this regards, one of these variables can be used as a supplementary controller input, in order to damp the oscillations efficiently. In this work the Singular Value Decomposition (SVD) method is used to realize the most effective control input of VSC-HVDC, with the aim of low frequency oscillation damping. Besides, optimum values for supplementary controller gains, are found using imperialist competition algorithm. To confirm strength of the proposed controller, the designed controller is tested in wide range of operating condition and compared with conventional scheme. The main advantage of the proposed procedure is greatly improving the dynamic response of the system. In addition, the overshoots, undershoots and the settling times are dramatically reduced by applying the proposed method. Simulation results show the good operation of proposed method so as to damp power system oscillations.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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“…This is due to the restrictive assumptions made and to the intuitive nature of the design process. In an attempt to address this problem, a number of researchers have proposed nonconventional design techniques based on modern control theory, such as eigenvalue assignment [S, 9, 12, 131, Nyquist array 114-161, and optimal control [7,[17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, reports have appeared in the literature concerning the application of optimal LQR theory to the design of power system stabilisers (PSSs) [7,[17][18][19][20][21][22]. The early papers considered single machine infinite bus (SMIB) systems.…”

Section: Introductionmentioning

confidence: 99%

Multimachine power system stabiliser design based on new LQR approach

Aldeen

Crusca

1995

IEE Proc., Gener. Transm. Distrib.

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The paper presents a novel systematic procedure for the design of excitation based stabilisers for large-scale interconnected electric power systems. The design method is based on newly obtained results in optimal linear quadratic regulator (LQR) design, and is superior to previously reported LQR approaches. A model of a fivemachine interconnected power system which includes detailed representation of synchronous machines, excitation systems, turbines and speed governing mechanisms is considered. Stabilisers of various structures are proposed. It is shown, through simulation studies, that the stabilisers improve the power system performance markedly, without excess demand for control action.

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An optimal multivariable stabilizer for a multimachine plant

Cited by 22 publications

References 14 publications

Robust Multi-Objective Control of Power System Stabilizer Using Mixed H2/H∞ and µ Analysis

Robust Multi-Objective Control of Power System Stabilizer Using Mixed H2/H∞ and µ Analysis

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

Multimachine power system stabiliser design based on new LQR approach

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