Performance evaluation in enabling safety for a hydropower generation system

Li, Huanhuan; Xu, Beibei; Riasi, Alireza; Szulc, Piotr; Chen, Diyi; M’zoughi, Fares; Skjelbred, Hans Ivar; Kong, Jiehong; Tazraei, Pedram

doi:10.1016/j.renene.2019.05.113

Cited by 17 publications

(8 citation statements)

References 34 publications

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“…For a pressurized pipeline, by assuming that the flow velocity is uniformly distributed in the pipe cross section, its dynamic characteristics can be described by the momentum and continuity equations of the flow, which can be expressed by the following partial differential equation [33][34][35][36][37][38][39]:…”

Section: Mathematical Model Of Hydropower System 41 Modeling the Pipeline Systemmentioning

confidence: 99%

Stability Criterion for Mass Oscillation in the Surge Tank of a Hydropower Station Considering Velocity Head and Throttle Loss

et al. 2021

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Surge tanks (STs) are important facilities for ensuring the safety of hydropower stations. Reducing the ST size under the premise of ensuring stable mass oscillations within the ST is the main issue. First, according to the basic equations of the mass oscillation for a hydropower station with an ST, a novel expression of the critical stability section of an ST is deduced considering the velocity head and throttle loss. Then, the sensitivity of each influencing factor of the proposed stability criterion is analyzed. Ultimately, through the simulation of small oscillation transients in two case studies, the water level oscillations (WLOs) in an ST based on three stability criteria are compared. The results show that a 20% smaller ST in a hydropower station may result in 10.4% larger oscillations and a 60% smaller ST in a pumped storage power station may result in 14.3% larger oscillations. Compared with the Thoma criterion and the Chinese specification criterion, the stability criterion proposed in this paper can safely reduce the size of the ST since it considers the influence of the velocity head and throttle loss. The proposed stability criterion can provide an important reference for the optimal design of the STs.

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Section: Mathematical Model Of Hydropower System 41 Modeling the Pipeline Systemmentioning

confidence: 99%

Stability Criterion for Mass Oscillation in the Surge Tank of a Hydropower Station Considering Velocity Head and Throttle Loss

et al. 2021

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“…From the refs. [27, 28], their characteristics are described as below: The unbalanced magnetic force: When the number of pole pairs p > 3, the unbalanced magnetic force (i.e. F xi _ump and F yi _ump , i = 1, 2) can be obtained as:

\{\begin{matrix} left F_{x i - ump} = 0true \frac{r_{1} L π k_{normalj}^{2} {I_{j}}^{2}}{4 μ_{0}} ((), 2 Λ_{0} Λ_{1} + Λ_{1} Λ_{2} + Λ_{2} Λ_{3}) \cos λ \\ left F_{y i - ump} = 0true \frac{r_{1} L π k_{normalj}^{2} {I_{j}}^{2}}{4 μ_{0}} ((), 2 Λ_{0} Λ_{1} + Λ_{1} Λ_{2} + Λ_{2} Λ_{3}) \sin λ \end{matrix} .

where r 1 , δ 0 , ε , μ 0 , k i , I i and L denote the rotor radius, the uniform air gap, the eccentric ratio, the magnetic conductivity of air, the fundamental coefficient of magneto‐motive force of air gap, the exciting current and the rotor length, respectively; Λ 0 , Λ 1 , Λ 2 and Λ 3 are medium variables.…”

Section: Model Of a Multi‐unit Hydroelectric Generating Systemmentioning

confidence: 99%

“…From the refs. [27,28], their characteristics are described as below: I. The unbalanced magnetic force: When the number of pole pairs p > 3, the unbalanced magnetic force (i.e.…”

Section: Model Of Shaft Systemmentioning

confidence: 99%

“…In this way, most of operational stability parameters can be observed except the shaft vibration parameters. (2) Focusing more on vibration characteristics by simplifying the hydroelectric generating system as a shaft model [22,28]. However, a precise model of hydroelectric generating system should contain both the hydro-turbine governing system and shaft system.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of parametric effect on transient stability of a multi‐unit hydroelectric generating system

Yang

Chen

2021

IET Renewable Power Gen

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Transient stability of a multi‐unit hydroelectric generating system significantly influences the safety operation of power stations. The uncertainty of operating parameter is one of the important factors to influence the system stability during the transient process. For this reason, the target of this paper aims to explore the optimised operating parameter in order to enhance the stability of a multi‐unit hydroelectric generating system. To overcome the limitations of existing methods in literature, a new high‐dimensional, complex and non‐linear dynamic model of the multi‐unit hydroelectric generating system that combines the conventional hydro‐turbine governing system and the shaft system is established. Then, the dynamic behaviour of the proposed system targeting the transient process is exhaustingly investigated with the change of the critical parameters. The calm interval of critical parameters is also determined in order to improve the transient stability of the system. The obtained results not only enrich the theoretical knowledge of transient dynamics but also ensure the safety operation of hydropower stations. Meanwhile, the presented research method, high‐dimensional non‐linear dynamic model and the interesting findings in transient process can promote the development of the theory of non‐linear dynamics.

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“…Hydropower is an important peak-regulating and frequency-modulating backbone power source in the power system [8]. Therefore, the stability and regulation quality of its load regulation transition process directly affect the safety, stability, and source coordination of the power grid [9,10]. Furthermore, power dispatching departments are bringing forth higher requirements and standards for the frequency, voltage, and power of the grid-connected hydro-generator unit in order to make better use of the excellent regulation ability of hydropower.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station

Wang

Zhang

2021

Water

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Active power instability during the power regulation process is a problem that affects the operation security of hydropower stations and the power grid. This paper focuses on the dynamic response to power regulation of a hydro-turbine governor in the power control mode. Firstly, the mathematical model for the hydro-turbine governing system connected to the power grid is established. Then, considering the effect of water hammer and the guide vane operating speed on power oscillation and reverse power regulation, a novel control strategy based on the S-curve acceleration and deceleration control algorithm (S-curve control algorithm) is proposed to improve power regulation. Furthermore, we carried out field tests in a real hydropower station in order to compare the regulation quality of the novel control strategy based on the S-curve control algorithm with the traditional linear control strategy. Finally, the obtained results show that the proposed optimal control strategy for the hydro-turbine governor improves the stability of power regulation by effectively suppressing reverse power regulation and overshoot. This study provides a good solution for the instability of power and reverse power regulation during the regulation process of the hydro-turbine governor in the power control mode.

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Performance evaluation in enabling safety for a hydropower generation system

Cited by 17 publications

References 34 publications

Stability Criterion for Mass Oscillation in the Surge Tank of a Hydropower Station Considering Velocity Head and Throttle Loss

Stability Criterion for Mass Oscillation in the Surge Tank of a Hydropower Station Considering Velocity Head and Throttle Loss

Evaluation of parametric effect on transient stability of a multi‐unit hydroelectric generating system

Experimental Study on the Optimal Strategy for Power Regulation of Governing System of Hydropower Station

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