2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART) 2022
DOI: 10.1109/smart55236.2022.9990457
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Evaluation of Different Waterway Modelling Techniques for Real Time Digital Simulator Applications

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Cited by 1 publication
(8 citation statements)
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“…During the normal operation of the plant, the changes caused by the action of Figure 10. The results reproduced from [16]: (a) RTDS results for the water flow in the penstock due to a 0.5 pu decrease in the power setpoint for different waterway models; (b) RTDS results for water flow in the penstock due to a 0.5 pu increase in the power setpoint for different waterway models.…”
Section: Waterway Model-surge Tankmentioning
confidence: 91%
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“…During the normal operation of the plant, the changes caused by the action of Figure 10. The results reproduced from [16]: (a) RTDS results for the water flow in the penstock due to a 0.5 pu decrease in the power setpoint for different waterway models; (b) RTDS results for water flow in the penstock due to a 0.5 pu increase in the power setpoint for different waterway models.…”
Section: Waterway Model-surge Tankmentioning
confidence: 91%
“…In [16], the RTDS results for the three main modeling methodologies for a waterway, including the rigid model, the polynomial approximation of a hyperbolic function, and the lumped parameter approach (with 2 sections and 10 sections of the conduit) on a simple power system with one hydropower unit as depicted in Figure 4 are compared. The following diagrams, Figures 8-10, present the results from [16]:…”
Section: Waterway Models-headrace Tunnel and Penstocksmentioning
confidence: 99%
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