An adaptive generator excitation controller based on linear optimal control

Mao, Chengxiong; Malik, O.P.; Hope, G.S.; Fan, Jun

doi:10.1109/60.63138

Cited by 62 publications

(7 citation statements)

References 2 publications

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“…For instance, adaptive control strategies have been proposed to ensure system stability and suppress the low-frequency electromechanical oscillations in PSSs [12]. The coefficients of PSSs are tuned online according to the chosen design method, such as optimal linear control [13], generalized predictive control [14], pole placement technique [15], and minimum variance control [16]. However, most of these adaptive control techniques are difficult to be implemented [17].…”

Section: Introductionmentioning

confidence: 99%

Wavelet-Based Power System Stabilizer

Neto

Ribeiro

Barreto

et al. 2015

IEEE Trans. Ind. Electron.

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This paper proposes a wavelet-based power system stabilizer by using both the scaling coefficient energy and the wavelet coefficient energy with border distortions of a one-cycle sliding window. The boundary scaling coefficient energy is used for real-time extraction and compensation of electromechanical oscillations in the synchronous generator, whereas the boundary wavelet coefficient energy is used for the real-time detection of electrical oscillations and for tripping the wavelet-based power system stabilizer at the fault inception time. The performance of the proposed wavelet-based power system stabilizer was assessed in an experimental power system laboratory setup and compared with a conventional power system stabilizer.Index Terms-Wavelet transform, synchronous generator, power system stabilizer, electromechanical oscillations, electrical oscillations.

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Section: Introductionmentioning

confidence: 99%

Wavelet-Based Power System Stabilizer

Neto

Ribeiro

Barreto

et al. 2015

IEEE Trans. Ind. Electron.

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“…Practical methods for nonlinear control include an open-loop inverse model of the nonlinear plant dynamics and the use of feedback loops to cancel the plant nonlinearities. The approximation of a non-linear system with a linearized model yields to the application of adaptive control, where real-time measurements of the plant inputs are used, either to derive explicitly the plant model or design a controller based on this model (indirect adaptive control), or to directly modify the controller output (direct adaptive control) [1][2][3][4][5][6]. Typical studies concerning applications of modern algebraic and optimal control methods in excitation controller design using linear system models and output feedback have been presented before.…”

Section: Introductionmentioning

confidence: 99%

Excitation control of a power plant alternator using interval type-2 fuzzy logic controller

Sharma¹,

Pathak²,

Jha³

et al. 2018

AMA_C

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This paper presents a practical design of an intelligent type of controller using Interval Type-2 Fuzzy Logic Controller (IT2FLC) concepts for excitation control of a practical power generating system. This type of controller is suitable for real time operation and aims to improve the dynamic characteristics of the generating unit by acting properly on its original excitation system. The modeling of the power system under study consists of a synchronous generator connected via a transformer and a transmission line to an infinite bus. Next, digital simulations of the above system are performed using fuzzy control techniques that are based on previous work. The dynamic performances of the interval type-2 fuzzy logic controllers (IT2FLC) along with Interval type-1 Fuzzy logic controller in short FLC is presented by comparison using the integral square error criterion (ISE). Typical transient responses of the system are shown for comparison in order to demonstrate the effectiveness of the proposed controller. The computer simulation results obtained demonstrate clearly that the performance of the developed controller offers competitive damping effects on the generator oscillations, with respect to the associated ones of the FLC, over a wider range of operating conditions, while their hardware implementation is easier and the computational time needed for real-time applications is drastically reduced. In MATLAB/SIMULINK is simulated model of the synchronous generator connected to an AC system. A simple fuzzy logic control scheme is simulated for voltage control and generator stabilization.

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“…As excitation control for synchronous generator is an economic and effective way to enhance power stability, it has attracted wide attentions from many researchers [1][2][3][4][5][6][7][8][9][10][11][12]. Power system stability and voltage regulation are two major issues, which are needed to be considered at the stage of designing an excitation controller.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is usually difficult to fulfil the global asymptotic stability while achieving satisfactory voltage due to the high nonlinearity and complexity of power systems. Traditionally, the power system stabilizers (PSS) or linear optimal excitation controllers are employed to improve transient stability and suppress low frequency oscillations [1,2]. However, these controllers cannot guarantee to provide satisfactory performances over a wide range of operating conditions, because they are designed based on a linearized model which is obtained from a particular operating condition.…”

Section: Introductionmentioning

confidence: 99%

Design of a nonlinear excitation controller using synergetic control theory

Zhao

Zhuo

Liu

et al. 2014

2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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This paper proposes an improved synergetic excitation controller (ISEC) for synchronous generator in order to not only improve transient stability but also obtain good voltage regulation performances of power systems. According to the control objective, a manifold is chosen as a linear combination of the deviation of generator terminal voltage, rotor speed and active power for the synthesis of the synergetic excitation controller. Then the control law of the conventional synergetic excitation controller (CSEC) is deduced based on the nonlinear model of the synchronous generator. The influences of controller parameters on control performance and its selection principle are also discussed. Compared with CSEC, an adaption strategy is proposed for ISEC to vary the control parameter in order to improve the performances of the voltage regulation and transient stability under various operating conditions. Case studies are undertaken on a single-machine infinite-bus (SMIB) power system. Simulation results show the ISEC can provide better damping and voltage regulation performances in comparison with the CSEC and conventional power system stabilizer.

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An adaptive generator excitation controller based on linear optimal control

Cited by 62 publications

References 2 publications

Wavelet-Based Power System Stabilizer

Wavelet-Based Power System Stabilizer

Excitation control of a power plant alternator using interval type-2 fuzzy logic controller

Design of a nonlinear excitation controller using synergetic control theory

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