2023
DOI: 10.3390/w15112034
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Mathematic Modelling of a Reversible Hydropower System: Dynamic Effects in Turbine Mode

Abstract: Over the past few years, there has been significant interest in the importance of reversible hydro-pumping systems due to their favorable flexibility and economic and environmental characteristics. When designing reversible lines, it is crucial to consider dynamic effects and corresponding extreme pressures that may occur during normal and emergency operating scenarios. This research describes essentially the turbine operation, although various boundary elements are mathematically formulated and presented to p… Show more

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Cited by 4 publications
(2 citation statements)
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“…Usually, time-domain models are utilized to simulate the evolution of state variables during the transition process. The state-of-the-art methods include the method of characteristics (MOC) [8,9], the finite difference method [8,10], and the differential equation model [10], etc. Under small disturbance conditions, the system model ignores the system nonlinearities and selects a rigid water hammer model for the pipes and six-parameter model for the pump-turbine [11]; hence, the PSGS model can be described by linearized state space equations [12].…”
Section: Introductionmentioning
confidence: 99%
“…Usually, time-domain models are utilized to simulate the evolution of state variables during the transition process. The state-of-the-art methods include the method of characteristics (MOC) [8,9], the finite difference method [8,10], and the differential equation model [10], etc. Under small disturbance conditions, the system model ignores the system nonlinearities and selects a rigid water hammer model for the pipes and six-parameter model for the pump-turbine [11]; hence, the PSGS model can be described by linearized state space equations [12].…”
Section: Introductionmentioning
confidence: 99%
“…Computational fluid dynamics (CFD) have also been applied in modeling PaT behavior with high accuracy [10,11], sometimes better than experimental results [9]. They enable the analysis of the effect of specific scenarios, e.g., transients [11], and pump characteristics, e.g., guide vane clocking positions [12], impeller geometry modifications [13], and variable rotational speed [14,15]. CFD nevertheless requires extensive time, resources, and computing power [16].…”
Section: Introductionmentioning
confidence: 99%