Stability and sensitivity analyses and multi-objective optimization control of the hydro-turbine generator unit

2022 ◽  
Author(s):  
Yousong Shi ◽  
Jianzhong Zhou
Keyword(s):  
Sensitivity Analyses ◽  
Multi Objective Optimization ◽  
Turbine Generator ◽  
Hydro Turbine ◽  
Multi Objective ◽  
Optimization Control ◽  
Generator Unit

scholarly journals Stability and Sensitivity Analysis and Optimization Control of the Hydro-turbine Generator Unit

2021 ◽  
Author(s):  
Yousong Shi ◽  
Jianzhong Zhou
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Stable Operation ◽  
Control Parameters ◽  
Optimization Strategy ◽  
Turbine Generator ◽  
Hydro Turbine ◽  
Multi Objective ◽  
Nonlinear Dynamic Characteristics ◽  
Generator Unit

Abstract The hydro-turbine governing system (HTGS) and shafting system are mutually coupled. However, the interaction between them has always been neglected. This paper aims to explore the stability and sensitivity of the governor control parameters to the HTGS and shafting system and make the optimal control of the stable operation for the hydro-turbine generator unit(HTGU). First, a novel HTGU motion equation is proposed, which can make connections between the HTGS and the shafting system of the HTGU. And on this basis, the nonlinear coupling mathematical model of the HTGS and the shafting system is established. According to the nonlinear mathematical model, the sensitivity of the governor control parameters on the operating stability of the HTGU is obtained. Then, a multi-objective governor control parameters optimization strategy is proposed. Furthermore, the chaotic-dominated sorting genetic algorithm II(NSGA-II) and multi-objective evolutionary algorithm based on decomposition(MOEAD) were introduced to obtain the optimal control parameter and mutually verify the effectiveness of the optimization effect. Finally, the nonlinear dynamic characteristics of HTGU under optimal control were revealed. The simulation results show that the rotation speed deviation and shafting system vibrations are sensitive on the PID parameters in some ranges and the stable region will be decreased when considering the shafting system vibrations. The multi-objective PID parameter optimization strategy shows good control performance on the nonlinear dynamic characteristics of the HTGU. The shafting system vibrations excited by the coupled vibration sources are quasi-period in 3D space. In addition to this, these results and the optimization strategy can provide some bases for the design and stable operation of the HTGU.

Nonlinear modal interaction analysis and vibration characteristics of a francis hydro-turbine generator unit

2021 ◽  
Vol 168 ◽  
pp. 854-864
Author(s):  
Beibei Xu ◽  
Xingqi Luo ◽  
Mònica Egusquiza ◽  
Wei Ye ◽  
Jing Liu ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Vibration Characteristics ◽  
Modal Interaction ◽  
Turbine Generator ◽  
Hydro Turbine ◽  
Nonlinear Modal Interaction ◽  
Generator Unit

Stability and sensitivity analysis of the bending-torsional coupled vibration with the arcuate whirl of hydro-turbine generator unit

2021 ◽  
Vol 149 ◽  
pp. 107306
Author(s):  
Yousong Shi ◽  
Jianzhong Zhou ◽  
Xinjie Lai ◽  
Yanhe Xu ◽  
Wencheng Guo ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Coupled Vibration ◽  
Turbine Generator ◽  
Hydro Turbine ◽  
Generator Unit

Multi-objective optimization control method for multi-user multi-service access in heterogeneous wireless networks

2019 ◽  
Vol 34 (7) ◽  
pp. 708-715
Author(s):  
董晓庆 DONG Xiao-qing ◽  
程良伦 CHENG Liang-lun ◽  
陈洪财 CHEN Hong-cai ◽  
郑耿忠 ZHENG Geng-zhong ◽  
谢森林 XIE Sen-lin
Keyword(s):  
Wireless Networks ◽  
Control Method ◽  
Heterogeneous Wireless Networks ◽  
Service Access ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimization Control

A Multi-Objective Optimization of the Reactor Power Plant

2018 ◽  
Author(s):  
Chen Lei ◽  
Jia Zhen ◽  
Wang Cong ◽  
Gong Zili ◽  
Liao Yi ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Mathematical Models ◽  
Steam Generator ◽  
Nuclear Power ◽  
Sensitivity Analyses ◽  
Immune Memory ◽  
Multi Objective Optimization ◽  
Operational Parameters ◽  
Multi Objective

From the view of practical engineering application, a compacter nuclear power plant is expected. The weight and the volume of a nuclear power plant can be reduced by optimal selection of the operational parameters. In this work, a thermal-hydraulic model of the reactor, mathematical models of the reactor vessel, the main pipe, the pressurizer, the steam generator, the turbine and the condenser were established for the Qinshan-I nuclear power plant based on the related technical materials. The responses of the optimal targets to the changes of the design variables were studied by the sensitivity analyses. The non-dominated solution front of the nuclear power plant was obtained by means of the immune memory clone constrained multi-objective optimization algorithm. The study shows that the component mathematical models are reliable for the optimization process, the distribution of the non-dominated solution is decided by the steam generator secondary pressure. The volume and the weight of the system could be at least reduced by 23.0% and 9.5%, respectively.

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