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Physics-based hydraulic turbine model for system dynamic studies

Citation

Giosio, DR and Henderson, AD and Walker, JM and Brandner, PA, Physics-based hydraulic turbine model for system dynamic studies, IEEE Transactions on Power Systems, 99, (2) pp. 1-8. ISSN 0885-8950 (2016) [Refereed Article]


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Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/TPWRS.2016.2574330

Abstract

A one-dimensional numerical model of a Francis turbine hydropower plant for dynamic response studies is presented with an alternate representation of the turbine unit component. The conventional, simplified representation of the hydraulic turbine is replaced by a consideration of the conservation of angular momentum using inlet and outlet velocity vectors calculated based on effective turbine geometry. Specific energy loss components associated with off-design conditions such as runner blade inlet incidence loss and draft tube residual swirl flow loss are determined. Estimates for mechanical frictional losses and churning losses are calculated to ensure accurate simulation across the entire turbine operating range. The resulting model therefore takes into consideration real sources of major loss, eliminating the use of ambiguous correction factors, while remaining equally simple to implement into current power system models. The new turbine formulation is validated against transient test data from a 119 MW Francis turbine unit, while simulations based on two existing conventional models are included for comparison.

Item Details

Item Type:Refereed Article
Keywords:hydroelectric power generation, hydraulic turbine dynamic simulation model, power system dynamics
Research Division:Engineering
Research Group:Mechanical Engineering
Research Field:Energy Generation, Conversion and Storage Engineering
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Hydro-Electric Energy
Author:Giosio, DR (Dr Dean Giosio)
Author:Henderson, AD (Dr Alan Henderson)
Author:Walker, JM (Dr Jessica Walker)
Author:Brandner, PA (Associate Professor Paul Brandner)
ID Code:109756
Year Published:2016
Funding Support:Australian Research Council (LP110200244)
Web of Science® Times Cited:2
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2016-06-29
Last Modified:2017-11-06
Downloads:17 View Download Statistics

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