Multi‐objective heuristic guide vane closure scheme optimisation of hydroturbine generating unit

Chen, Qijuan; Zhang, Haiku; Zheng, Yuan; Wen, Jinyu; Wang, Weiyu; You, Shihao

doi:10.1049/iet-rpg.2019.1186

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Through consideration of multi-objective function constraints, including restrictions on various parameters such as hydraulic oscillation, they used the proposed optimization scheme to conduct simulation tests on actual hydraulic turbine units under load rejection conditions. The experimental results denoted that their second level evolutionary algorithm had excellent comprehensive performance, and even high-temperature gas reactor could operate stably [13].…”

Section: Plos Onementioning

confidence: 96%

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Simulation and analysis of hydraulic transition process based on mechanical hydraulics

Chen,

Zhan

2023

PLoS ONE

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With the scarcity of water resources in various regions, the pressure on water supply projects is also increasing, which has led to a sharp increase in the water hammer effect in water supply pump projects. In response to this issue, the study proposes to apply a unidirectional pressure regulating tower based on mechanical hydraulic technology to water hammer protection in water supply pumps. In addition, the study also optimizes the calculation method of water hammer and designs one simulation software, which is used to simulate and analyze the proposed water hammer protection measures. The study first determines through simulation software that the optimal initial water level of the unidirectional pressure regulating tower is 2m and the optimal diameter of the make-up water pipe is 600 mm. Afterwards, simulation analysis is conducted on different water hammer protection measures, and it is found that the maximum pressure of the water hammer under the proposed protection measures is the lowest, at 14.8m, which was lower than the comparison measures. In addition, according to expert ratings, the average protective effect rating of protective measure 1 by relevant technical personnel is 9.4 points, which is better than the comparative measure. The above results indicate that through the simulation analysis of hydraulic transition process based on mechanical hydraulics, it can be found that the water hammer protection measures proposed in the study have good protective functions and can effectively reduce the water hammer effect in water supply engineering.

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Section: Plos Onementioning

confidence: 96%

“…In Eq (13), Δt means the time step size. When considering the local head loss at the oneway check valve, the head balance equation and flow continuity equation of the UPRT are shown in Eq (14).…”

Section: Mathematical Model Construction Of Uprtmentioning

confidence: 99%

Simulation and analysis of hydraulic transition process based on mechanical hydraulics

Chen,

Zhan

2023

PLoS ONE

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“…The full characteristic curve map (FCCM) is usually used for hydropower plants. It describes the performance parameters such as head H, flow rate Q, power P and efficiency η in a unit form of unit flow rate Q11 and unit rotational speed n11 [2,3]. Conventional FCCM is drawn based on hydrodynamic model test with discrete points and the two-dimensional continuous map can be generated by interpolation (see Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Advanced Modelling of Full Characteristic Curve of Tubular Turbine Based on Back-Propagation Neural Network

Jin

et al. 2022

Advances in Transdisciplinary Engineering

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For the comprehensive characteristics of hydro-turbine, it is generally grasped through the full characteristic curve map of hydro-turbine obtained from the experiment. However, due to the factors such as time cost, fund cost, experimental difficulty and safety, the experimental results cannot hold onto each working condition of hydro-turbine. And for the specific conditions of unknown working conditions, linear interpolation needs to be carried out through the existing experimental results, which will have a certain hidden danger to the safe and stable operation of the turbine. This paper uses the advantages of neural network to predict the overall operation space of hydro-turbine through back-propagation neural network under the condition of existing experimental points. The results show that the neural network method can effectively ensure the accuracy of the operation characteristics of the hydro-turbine, which can guide the safe and stable operation of the hydro-turbine more clearly, and ensure the efficient and stable operation of the hydro-turbine.

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“…Traditional parameter identification methods and strategies based on optimisation theory belong to single-point estimation from the statistical point of view [13][14][15]. Especially, various intelligent evolutionary algorithms have been employed for the parameter identification of PTGS or hydraulic turbinegoverning system (HTGS), such as gravitational search algorithm and its improved versions [10,12,16,17], improved backtracking search algorithm (IBSA) [11], improved ant lion optimisation algorithm [18] and so forth.…”

Section: Introductionmentioning

confidence: 99%

Parameter identification and uncertainty quantification of a non‐linear pump‐turbine governing system based on the differential evolution adaptive Metropolis algorithm

Zhang

Tian

Zhou

et al. 2021

IET Renewable Power Gen

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Pumped storage units (PSUs) are now widely used for energy storage. However, the uncertainty of the identification results of the pump‐turbine governing system (PTGS) caused by the random observation noises and the lack of prior knowledge remains an unaddressed issue. In recent years, the differential evolution adaptive Metropolis algorithm (DREAM) based on the Bayesian theory has been extensively used for parameter estimation and uncertainty analysis, but its application to the uncertainty analysis of PTGS has been rare. This study systematically evaluates the applicability of DREAM in the parameter identification and uncertainty quantification of PTGS. A real PSU in China has been employed as a case study for numerical experiments. Four groups of control experiments with different proportions of observation noises and different prior search spaces have been constructed in this study. It can be concluded from this study that: (a) accurate point identification results and effective uncertainty quantification can be obtained simultaneously using DREAM, (b) a lower proportion of observation noises can enhance the efficiency and effectiveness of the DREAM algorithm when applying to PTGS simulation. The DREAM method can narrow the prior search space of PTGS parameters effectively and thus help the hydropower engineers to make decisions.

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Multi‐objective heuristic guide vane closure scheme optimisation of hydroturbine generating unit

Cited by 5 publications

References 18 publications

Simulation and analysis of hydraulic transition process based on mechanical hydraulics

Simulation and analysis of hydraulic transition process based on mechanical hydraulics

Advanced Modelling of Full Characteristic Curve of Tubular Turbine Based on Back-Propagation Neural Network

Parameter identification and uncertainty quantification of a non‐linear pump‐turbine governing system based on the differential evolution adaptive Metropolis algorithm

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