A Parameter Sensitivity Analysis of Hydropower Units under Full Operating Conditions Considering Turbine Nonlinearity

Dong Liu (), Xinxu Wei, Jingjing Zhang, Xiao Hu and Lihong Zhang
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Dong Liu: College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Xinxu Wei: College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Jingjing Zhang: College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Xiao Hu: College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Lihong Zhang: College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China

Sustainability, 2023, vol. 15, issue 15, 1-21

Abstract: A parameter sensitivity analysis is an important part of the stability study of hydro turbine regulation systems, which helps operators to deepen their understanding of the characteristics and connections among the various parts of these systems. Considering that large hydropower stations undertake an essential regulation task in the power grid, the safety and stability of their operation cannot be ignored. To this end, taking a unit in a giant hydropower station in China as an example, a hydraulic–mechanical–electrical coupling model of the hydraulic turbine regulation system is established. A comprehensive parameter sensitivity indicator and parameter sensitivity analysis framework are proposed. On this basis, the sensitivity of the main system variables to parameter changes under full operating conditions is investigated by considering two different control modes of the unit (i.e., corresponding to different grid types). The results show that the sensitivity of the system state to the mechanical parameters of the generator is the highest in the power control mode, while the sensitivity to the electrical parameters of the generator and excitation system is higher in the frequency control mode. The sensitivity of the system with these key parameters also shows different patterns of change with a change in the unit operating conditions. The relevant findings can provide some theoretical guidance for the operation of hydropower stations and help to reduce the risk of system instability.

Keywords: hydropower unit; parameter sensitivity analysis; operating condition; nonlinear modeling; power system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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