Refurbishment and uprating of hydro power plants—A literature review

Rahi, O. P.; Chandel, Ashwani Kumar

doi:10.1016/j.rser.2015.04.033

Cited by 34 publications

(15 citation statements)

References 69 publications

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“…Although most of the hydropower plants have already equipped with a large number of condition monitoring systems, there are still some hydropower stations (or power plants) (Rahi and Chandel, 2015) that lack condition monitoring systems. For the fault diagnosis of these hydropower stations (power equipment), this paper proposes a BN model construction method based on expert experience.…”

Section: Methodsmentioning

confidence: 99%

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

Cheng

Zhu

et al. 2019

Transactions of the Institute of Measurement and Control

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In order to improve the intelligent level of fault diagnosis and condition maintenance of hydropower units, an Imitation medical diagnosis method (IMDM) is proposed in this study. IMDM uses Bayesian networks (BN) as the technical framework, including three components: machine learning BN model, expert empirical BN model, and maintenance decision model. Its characteristics are as follows: (i) the machine learning model uses a new node selection method to solve the problem that the traditional fault diagnosis model is difficult to connect with the state monitoring system. (ii) The expert experience BN model improves the traditional method: using the fault tree model to transform the BN structure, Noisy-Or model to simplify conditional probability table, and fuzzy comprehensive evaluation method to obtain the conditional probability. (iii) By introducing the expected utility theory, a maintenance decision model is innovated, which makes sure the optimal maintenance decision scheme after the fault can be better selected. The performance of this proposed method is evaluated by using the experimental data. The results show that the accuracy of the fault reasoning model is higher than 80%, and the maintenance decision model successfully selects 236 optimal maintenance decision schemes from 3159 schemes generated by 13 faults.

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Section: Methodsmentioning

confidence: 99%

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

Cheng

Zhu

et al. 2019

Transactions of the Institute of Measurement and Control

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“…The economic and environmental benefits of hydropower justify the further development of the existing technology and the exploitation of the remaining potential in a cost-efficient and affordable manner. Of the same importance are the rehabilitation of current hydraulic schemes and the optimization of the new turbines design, taking into account the recurrence of transient operating conditions (Rahi and Chandel, 2015).…”

Section: Introductionmentioning

confidence: 99%

Study on the Accuracy of RANS Modelling of the Turbulent Flow Developed in a Kaplan Turbine Operated at BEP. Part 1 - Velocity Field

Iovănel

Bucur

Cervantes

2019

JAFM

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This paper investigates the accuracy of Reynolds-averaged Navier-Stokes (RANS) turbulence modelling applied to complex industrial applications. In the context of the increasing instability of the energy market, hydropower plants are frequently working at off-design parameters. Such operation conditions have a strong impact on the efficiency and life span of hydraulic turbines. Therefore, research is currently focused on improving the design and increasing the operating range of the turbines. Numerical simulations represent an accessible and cost efficient alternative to model testing. The presented test case is the Porjus U9 Kaplan turbine model operated at best efficiency point (BEP). Both steady and unsteady numerical simulations are carried out using different turbulence models: k-epsilon, RNG k-epsilon and k-omega Shear Stress Transport (SST). The curvature correction method applied to the SST turbulence model is also evaluated showing nearly no sensitivity to the different values of the production correction coefficient Cscale. The simulations are validated against measurements performed in the turbine runner and draft tube. The numerical results are in good agreement with the experimental time-dependent velocity profiles. The advantages and limitations of RANS modelling are discussed. The most accurate results were provided by the simulations using the kepsilon and the SST-CC turbulence models but very small differences were obtained between the different tested models. The precision of the numerical simulations decreased towards the outlet of the computational domain. In a companion paper, the pressure profiles obtained numerically are investigated and compared to experimental data.

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“…As a kind of low-carbon power generation, hydropower, currently accounting for 19% of global electricity generated [2], offers an important low-carbon energy solution.…”

Section: Introductionmentioning

confidence: 99%

Governor Design for a Hydropower Plant with an Upstream Surge Tank by GA-Based Fuzzy Reduced-Order Sliding Mode

Qian

2015

Energies

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This paper investigates governor design by reduced-order sliding mode for a hydropower plant with an upstream surge tank. The governing system is made up of a tunnel, a surge tank, a penstock, a wicket gate and servomechanism, a governor, a hydro-turbine and a grid. Concerning the components of the governing system, their mathematic models are established. Then, these models are interconnected to simulate the governing system. From the viewpoint of state space in modern control theory, the governing system is partially observed, which challenges the governor design. By introducing an additional state variable, the control method of reduced-order sliding mode is proposed, where the governor design is based on a reduced-order governing system. Since the governor is applied to the original governing system, the system stability is analyzed by means of the small gain theorem. An genetic algorithm is employed to search a group of parameters of the predefined sliding surface, and a fuzzy inference system is utilized to decrease the chattering problem. Some numerical simulations are illustrated to verify the feasibility and robustness of the control method.

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Refurbishment and uprating of hydro power plants—A literature review

Cited by 34 publications

References 69 publications

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

Study on the Accuracy of RANS Modelling of the Turbulent Flow Developed in a Kaplan Turbine Operated at BEP. Part 1 - Velocity Field

Governor Design for a Hydropower Plant with an Upstream Surge Tank by GA-Based Fuzzy Reduced-Order Sliding Mode

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