Wear and tear on hydro power turbines – Influence from primary frequency control

Yang, Weijia; Norrlund, Per; Saarinen, Linn; Yang, Jiandong; Guo, Wencheng; Zeng, Wei

doi:10.1016/j.renene.2015.10.009

Cited by 45 publications

(23 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First-order model [19,20] Simple calculation Modeling inaccuracy, especially in the transient process. Second-order model [10,15,21] Consider the electromagnetic reaction of Q axis Transient electric potential remains unchanged.…”

Section: Generator Simulation Advantages Drawbacksmentioning

confidence: 99%

Mathematical model and parametric uncertainty analysis of a hydraulic generating system

Chen

Patelli

et al. 2019

Renewable Energy

View full text Add to dashboard Cite

Conversion efficiency and unit vibration are two important indexes in evaluating the stability of hydraulic generating systems (HGSs). Most of related studies have been carried out in the deterministic theory framework. As running times of HGS increased, understanding uncertainties and limitations of model parameters are important for accurate modeling and stability evaluation. In this study, first, we establish an integrated model of a HGS by proposing unbalanced hydraulic forces based on the Kutta-Zhoukowski assumption. Second, global sensitivity and parametric interactions for conversion efficiency and unit vibration are investigated based on this model. Finally, the novel unified model is verified with two conventional models. This integrated and accurate mathematical model is a major advance in the diagnosis and prediction of failures in hydropower operation. *Revised Manuscript-Clear Click here to download Revised Manuscript-Clear: 20180520-a clear manuscript.docx Click here to view linked References

show abstract

Section: Generator Simulation Advantages Drawbacksmentioning

confidence: 99%

Mathematical model and parametric uncertainty analysis of a hydraulic generating system

Chen

Patelli

et al. 2019

Renewable Energy

View full text Add to dashboard Cite

show abstract

“…Previous research on the transient stability analysis of the hydro-turbine governing system used fixed transfer coefficients to describe transient performance. This may result in the inaccurate results during transient processes (Zhang, Cheng, Xia, Yang & Qian, 2016;Yang, Norrlund, Saarinen, Yang, Guo & Zeng, 2016;Li & Zhou, 2011;Ling & Tao, 2006). To better describe the transient performance of the hydro-turbine governing system, dynamic transfer coefficients considering the load variations are introduced to investigate the transient stability of the system.…”

Section: The Nonlinear Dynamic Expression Of Hydro-turbine Transfer Cmentioning

confidence: 99%

Transient stability of a hydro-turbine governing system with different tailrace tunnels

Zhang

Pang

Chen

et al. 2019

Journal of Hydraulic Research

View full text Add to dashboard Cite

This paper focuses on the transient stability of a hydro-turbine governing system with three kinds of tailrace tunnels. As the transfer coefficients change with operation conditions, the dynamic transfer coefficients which can describe the transient characteristics of the hydro-turbine governing system are introduced. Then, the transient stability of the hydro-turbine governing system is analyzed. The global bifurcation diagrams for the three kinds of tailrace tunnels are respectively presented to investigate the effects of the tailrace tunnels on the stability of the hydro-turbine governing system. Furthermore, theoretical analysis which proves the validity of simulation results is provided to explain the effects of the flow inertia and water level fluctuation. In addition, the influence of the tailrace tunnel gradient on the transient stability is also studied. More importantly, these methods and research results provide theoretical guidance for the arrangement of the tailrace tunnel and the operation of the hydropower station.

show abstract

“…On the basis of accurate modeling, stability control of HTGS has attracted many scholars' attention. However, at present, the control methods of HTGS mainly focus on asymptotic stability theory and finite time theory [33][34][35][36][37][38][39][40]. Theoretically, the time required for the asymptotic stability theory to make the system stable is infinite.…”

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

View full text Add to dashboard Cite

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.

show abstract

Wear and tear on hydro power turbines – Influence from primary frequency control

Cited by 45 publications

References 14 publications

Mathematical model and parametric uncertainty analysis of a hydraulic generating system

Mathematical model and parametric uncertainty analysis of a hydraulic generating system

Transient stability of a hydro-turbine governing system with different tailrace tunnels

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

Contact Info

Product

Resources

About