A start-up optimization strategy of a hydroelectric generating system: From a symmetrical structure to asymmetric structure on diversion pipes

Lei, Liuwei; Li, Feng; Kheav, Kimleng; Jiang, Wei; Luo, Xingqi; Patelli, Edoardo; Xu, Beibei; Chen, Diyi

doi:10.1016/j.renene.2021.09.010

Cited by 20 publications

(3 citation statements)

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“…[25] PID controller has three control modes: frequency mode, openness mode, and power mode. [26] The electrohydraulic servo system model is shown in The generator model adopts Simulink generator module, which contains two input terminals (P m and V f1 ) and four output terminals (m, A, B, and C). [27,28] For the parameters definition of the generator model, see Table A1 in the Appendix.…”

Section: Governing System and Generatormentioning

confidence: 99%

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System Power Quality Analysis under Wind–Hydro Complementary Generation Mode

Gao,

Liu,

Sun

et al. 2024

Energy Tech

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The highly random and characteristics of wind power generation challenge the power quality of the wind–hydro complementary generation system (WHCGS). Herein, the transient characteristics of power quality under the complementary generating mode are studied. First, a nonlinear hydropower system (HPS) model is innovatively established considering the dynamic characteristics of hydrounits under part load operation, and then a wind power system model including wind speed model, wind turbine and its controller, generator and converter is established. Finally, the applicability of WHCGS model in power quality evaluation is established and verified by IEEE‐9 node model. Combined with active power, frequency, and voltage power quality indicators, the effects of wind–hydro capacity ratio and voltage sag on the system are quantified. The results show that the increase in wind power penetration will deteriorate the power quality of WHCGS. Moreover, when the wind power capacity reaches 60 MW, it will damage the voltage and frequency stability of HPS. Besides, the larger the voltage sag amplitude, the worse the power quality of WHCGS. The longer the voltage sag lasts, the higher the risk of WHCGS instability. This article provides a technical reference for the safe and stable operation of WHCGS.

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Section: Governing System and Generatormentioning

confidence: 99%

“…[ 25 ] PID controller has three control modes: frequency mode, openness mode, and power mode. [ 26 ]…”

Section: Wind–hydro Complementary Generation Systemmentioning

confidence: 99%

System Power Quality Analysis under Wind–Hydro Complementary Generation Mode

Gao,

Liu,

Sun

et al. 2024

Energy Tech

Self Cite

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“…Researchers have focused on the parameter tuning and optimization of PID controller and made considerable progress. Many evolutionary algorithms have been proposed to solve the parameter identification problem in turbine regulation system, such as genetic algorithm (GA) (Tapia et al, 2020), gravitational search algorithm (GSA) (Chen et al, 2014), particle swarm optimization (PSO) (Chen et al, 2019), and other improved algorithms (Lei et al, 2021; Rezghi et al, 2020). While the start-up scheme is optimized, the dynamic response indices related to the rotational speed such as the overshoot, the settling time, and the oscillation count are often considered in the objective functions.…”

Section: Introductionmentioning

confidence: 99%

Start-up process optimization of pumped-storage unit with Tilt–Integral–Derivative controller

Liu

Zheng

et al. 2023

Transactions of the Institute of Measurement and Control

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Focused on the hydraulic–mechanical coupled transient behaviors of the pumped-storage unit (PSU), this paper discusses the theoretical implementation and the parameter optimization of tilt–integral–derivative (TID) controller in turbine start-up processes. A novel learning backtracking search algorithm (LBSA) is adapted to optimize the control parameters, and a comprehensive index combining the relative deviation of the rotational speed and the relative deviation of the volute’s water pressure is designed as the objective function. A nonlinear mathematical model which can reflect hydraulic and mechanical dynamic characteristics of the pumped-storage governing system (PSGS) is established for the simulation of the transient period. Simulation experiments of two typical operating conditions are carried out under no-load condition. The simulation results show that the TID controller attaches significance to suppressing the amplitude of water hammer pressure and damping the hydraulic fluctuations. It will also restrain the trend of state trajectories oscillating back and forth in the unstable “S” shaped regions.

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