Finite-time Takagi–Sugeno fuzzy controller design for hydraulic turbine governing systems with mechanical time delays

Tian, Yuqiang; Wang, Bin; Chen, Peng; Yang, Ying

doi:10.1016/j.renene.2021.04.011

Cited by 12 publications

(7 citation statements)

References 37 publications

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“…The method utilizes evolutionary computation techniques to achieve its objectives. A novel non-linear finite-time Takagi-Sugeno fuzzy control scheme of the hydraulic turbine governing system with mechanical time delay was proposed by Tian et al (2021). A Takagi-Sugeno fuzzy control method based on the frequency distribution model of disturbance observer was proposed to improve the anti-interference control performance of the system .…”

Section: Open Access Edited Bymentioning

confidence: 99%

Stability and sensitivity characteristic analysis for the hydropower unit considering the sloping roof tailrace tunnel and coupling effect of the power grid

Zhong,

Zhu,

Zhao

et al. 2023

Front. Energy Res.

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This paper focuses on the stability and dynamic characteristics of the coupled system of nonlinear hydraulic turbine regulating system (HTRS) and power grid (PG). By establishing a nonlinear mathematical model considering the downstream surge chamber and sloping roof tailrace tunnel, the coupling effect and influence mechanism between the hydropower station and power grid are revealed. First, with regard to the coupled system, HTRS considering downstream surge chamber and sloping roof tailrace tunnel and PG model is established. Then, dynamic performance of the coupled system is investigated based on the nonlinear mathematical model as well as Hopf bifurcation theory and validated by numerical simulation. Meanwhile, the impact mechanism of HTRS and PG is revealed by investigating dynamic characteristics. In addition, stability is studied by using eigenvalue method according to the Jacobian matrix of the coupled system. Finally, parameter sensitivity is investigated to quantify parameter effects on system performance. The experimental results indicate that bifurcation line divides the whole proportional–integral adjustment coefficient plane into two parts and the region at the bottom of bifurcation line is stability region. HTRS and PG possess a coupling effect on stable domain and dynamic properties of the coupled system. The variation of HTRS parameters is most significant for the coupled system, especially for the inertia time constant of the hydraulic turbine unit and penstock flow inertia time constant.

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Section: Open Access Edited Bymentioning

confidence: 99%

Stability and sensitivity characteristic analysis for the hydropower unit considering the sloping roof tailrace tunnel and coupling effect of the power grid

Zhong,

Zhu,

Zhao

et al. 2023

Front. Energy Res.

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“…Consequently, there are also stringent requirements for their components [50][51][52]. For turbine pumps (TPs), this means high flow rates, high rotational speeds and high pressure ratios, which make their operation vulnerable to cavitation, while clean, renewable energy sources such as hydropower play an increasingly important role in saving energy and reducing emissions [53][54][55][56][57]. As a hydraulic machine, energy losses from pumps and turbines are always present, and hydraulic turbines are used in many hydropower stations to generate electricity by recovering water with high pressure differences.…”

Section: Effect Of Factors On the Efficiency Of Hydraulic Turbines 21...mentioning

confidence: 99%

A Review of the Efficiency Improvement of Hydraulic Turbines in Energy Recovery

Song

Xue

et al. 2023

Processes

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Turbine energy recovery is a process energy saving technology, and understanding turbine efficiency has important operational and economic benefits for the operator of a power plant. There are three main areas of research into turbine energy efficiency: the structural performance of the turbine itself, the configuration of the recovery device and the regulation of operating conditions. This paper summarizes recent research advances in hydraulic turbine energy efficiency improvement, focusing on the design factors that can affect the overall efficiency of a hydraulic turbine. To quantify the impact of these factors, this paper investigates the effects of surface roughness, flow rate, head and impeller speed on overall efficiency. Methods for optimizing improvements based on these design factors are reviewed, and two methods, the Box–Behnken Design method and the NSGA-II genetic algorithm, are described with practical examples to provide ideas for future research.

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“…Nevertheless, the turbine model for steady‐state analysis has not been investigated in detail. Furthermore, the strong nonlinear characteristics of turbines are complex in SSAHPPN modeling 30–32 . Quite a number of meaningful investigations have been conducted for turbine modeling in the past decades.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the strong nonlinear characteristics of turbines are complex in SSAHPPN modeling . [30][31][32] Quite a number of meaningful investigations have been conducted for turbine modeling in the past decades. An ANN method of the correlations for efficiency using operating parameters is developed by Kumar et al, 33 which is applied to evaluating the performance of turbines.…”

Section: Introductionmentioning

confidence: 99%

Turbine modeling for steady‐state analysis in hydropower plant networks with complex layouts using a modified global gradient algorithm

Yang

et al. 2023

Energy Science & Engineering

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Turbines are generally oversimplified in conventional algorithms for steadystate analysis of hydropower plant (HPP) networks. Moreover, conventional algorithms are hardly suitable for serial HPPs. In this paper, a modified global gradient algorithm (MGGA) is developed by extending turbine models and optimizing turbine interpolation. First, the nonlinear model of turbines is established with the proposed variable resistance factor and added to the global matrix. Then turbine unit quantity interpolation is proposed to compute the turbine operating parameters. Finally, turbine links and pipes can be iterated synchronously, and the global matrix is solved using the Newton-Raphson method. Characteristics of MGGA are evaluated by employing two test HPPs, including rapidity of convergence, computational stability of turbine, and applicability for serial HPPs. The results show that: (a) The iterative numbers of the MGGA are 0.72 and 4.98 times on average less than that of CA1 and CA2 for the accuracy of 10 −6 in 400 operating conditions, even though MGGA has an obvious hysteretic nature; (b) Only MGGA can successfully calculate the extreme cases that large head losses in HPP networks; (c) Although fixed head nodes are not present between turbine links, such as serial HPPs, MGGA still works.

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Finite-time Takagi–Sugeno fuzzy controller design for hydraulic turbine governing systems with mechanical time delays

Cited by 12 publications

References 37 publications

Stability and sensitivity characteristic analysis for the hydropower unit considering the sloping roof tailrace tunnel and coupling effect of the power grid

Stability and sensitivity characteristic analysis for the hydropower unit considering the sloping roof tailrace tunnel and coupling effect of the power grid

A Review of the Efficiency Improvement of Hydraulic Turbines in Energy Recovery

Turbine modeling for steady‐state analysis in hydropower plant networks with complex layouts using a modified global gradient algorithm

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