Suboptimal design of hydroturbine governors

Arnautović, Dušan; Škatarić, Dobrila

doi:10.1109/60.84319

Cited by 15 publications

(8 citation statements)

References 4 publications

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“…Therefore, for the general case of synthesis it is necessary to determine: (1) the regulator dimension, (2) regulator parameter, and (3) feedback gains so that the closed-loop system has satisfactory dynamic characteristics. The design procedure by projective controls is given in [7].…”

Section: Problem Formulationmentioning

confidence: 99%

“…improve the quality of speed regulation [1][2][3][4]. Numerous new features in control are enabled in turbine governors that are realised in digital technology, due to their flexibillty and their capabillity to implement more complex algorithms [2,[5][6][7][8]. Flexibillity of digital technology, in both, hardware and software, enables at short notice development, adjustment and verification of applied control approach.…”

Section: Introductionmentioning

confidence: 99%

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Suboptimal design of turbine governors for low head hydroturbines

Arnautovic

Džepčeski

2010

FACTA U EE

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The paper considers a low head hydro units control problem by using the modern control theory for turbine governor design. The design of optimal and suboptimal turbine governor is performed by using the optimal control theory and projective controls method. Implementation of modern control theory in contemporary turbine governors is fairly easy to obtain due their realisation in digital technology. Comparison for the closed-loop system dynamic performances, shows that better results are obtained with optimal and suboptimal governors as compared to conventional turbine governors.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Suboptimal design of turbine governors for low head hydroturbines

Arnautovic

Džepčeski

2010

FACTA U EE

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“…The hydraulic flow in the penstock is modeled under the assumption of an inelastic water column effect. The stiff water hammer equation can be expressed as [12,13] …”

Section: System Descriptionmentioning

confidence: 99%

“…For a given reference operating point, the partial derivative relationship between these variables is given as [12,13] …”

Section: System Descriptionmentioning

confidence: 99%

Small hydro power plant identification using NNARX structure

Kishor

Saini

Singh

2005

Neural Comput & Applic

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A feedforward multi-layer perceptron neural network structure is developed to model the nonlinear dynamic relationship between input and output of a hydro power plant connected as single machine infinite bus system. Two independent second-order neural network nonlinear auto-regressive with exogenous signal models are used in the study. The structure selection of each independent model is based on various validation tests. The optimal brain surgeon pruning strategy adopted for optimizing the neural network structure. The network performance is studied for fixed and change in operating point.

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“…However, the control scheme designed based on the quasi-linear model is sensitive to rapid changes in the system and requires further refinement of the system model and control objectives. Arnatovic used the output signal to adjust the guide vane and paddle angle according to the projection control method [14]. The turbines used in the above methods are simplified linear models, which may lead to large errors in the results.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Control of Non-Combined Integrated Governor for Kaplan Turbine Generator Set

et al. 2021

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In this paper, a nonlinear model is established for the Kaplan turbine generator set (KTGS) with dual input governor and generator excitation to solve unsatisfactory regulation performance caused by the deviation from the combination curve during the transient process. According to the model charateristics, the constraint effect of the objective function in multi-objective feedback nonlinear control design is utilized to replace the associative relationship between the wicket gate and the blade. Then, a three-variable integrated nonlinear control strategy (TVINCS) is applied to the wicket gate, blade governor, and generator excitation. Simulation results demonstrate the precise tracking performance of hydraulic and electrical parameters controlled by TVINCS. The controller is designed to guaratee the turbine's output efficiency, and effectively coordinate the wicket gate and blade actions in the dynamic regulation process, providing a superior dynamic adjustment performance for the system under various disturbances.

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Suboptimal design of hydroturbine governors

Cited by 15 publications

References 4 publications

Suboptimal design of turbine governors for low head hydroturbines

Suboptimal design of turbine governors for low head hydroturbines

Small hydro power plant identification using NNARX structure

Nonlinear Control of Non-Combined Integrated Governor for Kaplan Turbine Generator Set

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