Reconstruction of the complete characteristics of the hydro turbine based on inner energy loss

Qian, Jing; Zeng, Yun; Guo, Yakun; Zhang, Lixiang

doi:10.1007/s11071-016-2937-4

Cited by 21 publications

(16 citation statements)

References 15 publications

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“…F is the cross section of the spiral case, ξ sc is the hydraulic impact loss, v sc is the speed of the water flow across the cross-section area K and c represents the torque. In addition, the hydraulic loss at the SR h wj [27] is described as:…”

Section: Hydraulic Lossesmentioning

confidence: 99%

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Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

Lin

Bălaş

et al. 2019

Energies

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To investigate a typical large-scale nonlinear hydropower system (HS) with a stochastic water flow, a novel nonlinear adaptive control scheme, which is created by the combination of a backstepping strategy, nonsingular fast terminal sliding mode surface and command filter, is proposed for the hydro-turbine governor design of a HS to not only improve the transient stability of the HS but also increase the energy conversion efficiency and improve the reliability and availability of the electricity supply. In contrast to previous research based on ideal hydro-turbine models with accurate parameters, an adaptive backstepping nonsingular fast terminal sliding mode control (ABNFTSMC) with command filtered (CF) is proposed in which virtual control inputs and error compensations are applied to overcome distribution characteristics resulting from energy losses, while guaranteeing finite-time convergence. In addition, to avoid the requirement of analytic differentiation in Lyapunov stability, a command filter method is used to generate certain compensating signals and their derivatives. In this paper, the Nazi Gorge hydropower station in China is used as our verification model of a hydropower plant with monitored data, where energy losses and random water flow disturbances are considered. Simulation results illustrate that the proposed control strategy for a hydro-turbine governor can significantly increase the stability, reliability, and system performance of a HS even in the presence of uncertainties.

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Section: Hydraulic Lossesmentioning

confidence: 99%

“…From Equation (27), it can be easily demonstrated that the virtual control α 1 can be chosen by (21). Thus, it is straightforward to show that Equation (27) can be further expressed as:…”

Section: Step 1 (Subsystem 1)mentioning

confidence: 99%

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

Lin

Bălaş

et al. 2019

Energies

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“…Zeng et al [21] have proposed a new generalised Hamiltonian model to analyse the transient operation of the hydroelectric generating set shafting. Qian et al [22] have established the transient power model of the hydro‐turbine and applied it to reconstructing the complete characteristics of the hydro‐turbine. On the basis of the above work, some scholars have studied the dynamic characteristics of the transient process of hydro‐turbine.…”

Section: Introductionmentioning

confidence: 99%

Grid‐connection analysis of hydro‐turbine generator unit with stochastic disturbance

Liu

Chen

et al. 2019

IET Renewable Power Generation

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Here, the authors bring attention to the stability of the hydro-turbine generator unit (HTGU) with stochastic disturbance during the grid-connection process. First, the stochastic factor of the water head is innovatively introduced to the hydro-turbine governing system (HTGS) during the start-up process of the HTGU. Then, the dynamic characteristics of the startup and grid-connection process are studied under different stochastic intensities and different values of three system parameters by two different methods, in detail. The results show that the stability of grid-connection is affected obviously by the various intensities of stochastic water head, and there are some interesting phenomena and significant laws. Meanwhile, the values of the HTGS parameters show certain effect on the resistance of HTGS to the stochastic disturbance. Finally, this study can provide a theoretical basis for improving the probability of success in combining the HTGU to the grid in practical process.

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“…It is particularly important for such giant hydro-turbine units to ensure their safe and stable operation [4][5][6]. However, there are varying degrees of stability problems in large and medium-sized hydroelectric generator units in production practice both at home and abroad [7][8][9][10]. The stability of the hydro-generator sets plays an important role in the stability of the power grid system.…”

Section: Introductionmentioning

confidence: 99%

Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

et al. 2019

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A nonlinear predictive control method for a fractional-order hydraulic turbine governing system (HTGS) with a time delay is studied in this paper. First, a fractional-order model of a time-delay hydraulic turbine governing system is presented. Second, the fractional-order hydraulic servo subsystem is transformed into a standard controlled autoregressive moving average (CARMA) model according to the Grünwald-Letnikov (G-L) definition of fractional calculus. Third, based on the delayed Takagi-Sugeno fuzzy model, the fuzzy prediction model of the integer-order part of the HTGS is given. Then, by introducing a fourth-order Runge-Kutta algorithm, the fuzzy prediction model can be easily transformed into the CARMA model. Furthermore, a nonlinear predictive controller is proposed to stabilize the time-delay HTGS. Finally, the experiment results are consistent with the theoretical analysis.

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Reconstruction of the complete characteristics of the hydro turbine based on inner energy loss

Cited by 21 publications

References 15 publications

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design

Grid‐connection analysis of hydro‐turbine generator unit with stochastic disturbance

Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

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