EconPapers    
Economics at your fingertips  
 

Time-frequency domain characteristics analysis of a hydro-turbine governor system considering vortex rope excitation

Liuwei Lei, Feng Li, Beibei Xu, Mònica Egusquiza, Xingqi Luo, Junzhi Zhang, Eduard Egusquiza, Diyi Chen, Wei Jiang and Edoardo Patelli

Renewable Energy, 2022, vol. 183, issue C, 172-187

Abstract: Understanding and simulating the dynamic characteristics of the hydro-turbine governor system is essential to guarantee the safety of the hydro-power systems. This study proposes a modification method of the water head at the draft tube inlet, which is to discretize the draft tube and introduce the excitation term of the vortex rope. The proposed approach is applied for the modeling of the hydro-turbine governor system. The proposed model (Model I) is verified by means of a comparison with a second model (Model II) of the hydro-turbine governor system model without considering the vortex rope and verified against the experimental data during the load reduction. The model developed is accurate providing errors of the water head, inlet water head and flow of the hydro-turbine for Model Ⅰ are within ±3.3%, ±2% and ±5%, respectively. The proposed model overcomes the limitations of Model Ⅱ in the time-domain and frequency-domain since that only provides the average pressure at the draft tube, which do not reflect the pressure fluctuation and energy fluctuation. Instead the proposed model allows to capture and model the energy fluctuation during the load reduction as shown in the experimental results. The proposed model promotes the development of the hydro-turbine governor system model.

Keywords: Vortex rope; Hydro-turbine governor system; Modeling method; Francis turbine; Dynamic characteristics analysis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121015329
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:183:y:2022:i:c:p:172-187

DOI: 10.1016/j.renene.2021.10.074

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:183:y:2022:i:c:p:172-187