Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization

Liu, Linhai; Zhu, Baoshan; Bai, Li; Liu, Xiaobing; Zhao, Yue

doi:10.3390/en10081169

Cited by 37 publications

(27 citation statements)

References 27 publications

(44 reference statements)

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“…In addition, the boundary condition of the hydraulic-mechanical junction will be solved in Section 2.2. Using Equations (4) and (5), the implicit matrix form of the system is given by:…”

Section: Of 24mentioning

confidence: 99%

“…With the coming of the low-carbon era, the proportion of electricity generated by intermittent renewable energy sources, including photovoltaic power, wind power, and biomass energy, has been growing [1][2][3]. Consequently, there is a greater need for the stability and safety of PSUs, which play the vital roles of generating electricity, peak load shifting, and frequency modulation in the power system [4,5]. In recent years, with the increase in the installed capacity of PSUs and the structural complexity of the hydraulic-mechanical-electrical system, research into transient process and control approaches of PSUs is gaining greater theoretical significance and engineering application value.…”

Section: Introductionmentioning

confidence: 99%

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A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

et al. 2017

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Model simulation and control of pumped storage unit (PSU) are essential to improve the dynamic quality of power station. Only under the premise of the PSU models reflecting the actual transient process, the novel control method can be properly applied in the engineering. The contributions of this paper are that (1) a real-time accurate equivalent circuit model (RAECM) of PSU via error compensation is proposed to reconcile the conflict between real-time online simulation and accuracy under various operating conditions, and (2) an adaptive predicted fuzzy PID controller (APFPID) based on RAECM is put forward to overcome the instability of conventional control under no-load conditions with low water head. Respectively, all hydraulic factors in pipeline system are fully considered based on equivalent lumped-circuits theorem. The pretreatment, which consists of improved Suter-transformation and BP neural network, and online simulation method featured by two iterative loops are synthetically proposed to improve the solving accuracy of the pump-turbine. Moreover, the modified formulas for compensating error are derived with variable-spatial discretization to improve the accuracy of the real-time simulation further. The implicit RadauIIA method is verified to be more suitable for PSUGS owing to wider stable domain. Then, APFPID controller is constructed based on the integration of fuzzy PID and the model predictive control. Rolling prediction by RAECM is proposed to replace rolling optimization with its computational speed guaranteed. Finally, the simulation and on-site measurements are compared to prove trustworthy of RAECM under various running conditions. Comparative experiments also indicate that APFPID controller outperforms other controllers in most cases, especially low water head conditions. Satisfying results of RAECM have been achieved in engineering and it provides a novel model reference for PSUGS.

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“…In addition, the boundary condition of the hydraulic-mechanical junction will be solved in Section 2.2. Using Equations (4) and (5), the implicit matrix form of the system is given by:…”

Section: Of 24mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

et al. 2017

View full text Add to dashboard Cite

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“…The optimization strategy usually consists of a runner design method, design of experiment (DOE), CFD analysis, response surface methodology, and multiobjective genetic algorithm method. This strategy was successfully used in the design of a pump-turbine runner [24,25], after the optimization, the performance of the runner was obviously improved. Because of its simplicity, this optimization strategy could be used in the development of fluid machines.…”

Section: Introductionmentioning

confidence: 99%

Cavitating Flow Suppression in the Draft Tube of a Cryogenic Turbine Expander through Runner Optimization

Huang

Zhu

2020

Processes

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The application of a cryogenic liquefied natural gas expander can reduce the production of flash steam and improve the efficiency of natural gas liquefaction. Like traditional hydraulic machinery, cavitation will occur during the operation of a liquefied natural gas expander, in particular, there is a strong vortex flow in the draft tube, and the cavitation phenomenon is serious. In this paper, the energy loss coefficient of the draft tube is used to describe the cavitation flow in the draft tube, and the goal of reducing the cavitation in the draft tube is achieved through the optimization design of the runner. Different runner models within the range of design parameters were obtained using the Latin hypercube test, and the relationship between design parameters and objective functions is constructed by a second-order response surface model. Finally, the optimized runners were obtained using a genetic algorithm. The effects of blade loading distribution and blade lean angles on the cavitation in the draft tube were studied. According to the optimization results, the blade loading distribution and blade lean angles are recommended in the end.

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“…To design and optimize the blade shape, the distribution of the structural parameters, for instance the blade angles, were directly adjusted in previous studies [2][3][4]. Unfortunately, this approach is highly dependent on the designers' experiences.…”

Section: Introductionmentioning

confidence: 99%

Application of the Modified Inverse Design Method in the Optimization of the Runner Blade of a Mixed-Flow Pump

Wang

et al. 2018

Chin. J. Mech. Eng.

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To improve the design speed and reduce the design cost for the previous blade design method, a modified inverse design method is presented. In the new method, after a series of physical and mathematical simplifications, a sail-like constrained area is proposed, which can be used to configure different runner blade shapes. Then, the new method is applied to redesign and optimize the runner blade of the scale core component of the 1400-MW canned nuclear coolant pump in an established multi-optimization system compromising the Computational Fluid Dynamics (CFD) analysis, the Response Surface Methodology (RSM) and the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). After the execution of the optimization procedure, three optimal samples were ultimately obtained. Then, through comparative analysis using the target runner blade, it was found that the maximum efficiency improvement reached 1.6%, while the head improvement was about 10%. Overall, a promising runner blade inverse design method which will benefit the hydraulic design of the mixed-flow pump has been proposed. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

show abstract

Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization

Cited by 37 publications

References 27 publications

A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

Cavitating Flow Suppression in the Draft Tube of a Cryogenic Turbine Expander through Runner Optimization

Application of the Modified Inverse Design Method in the Optimization of the Runner Blade of a Mixed-Flow Pump

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