Dynamic Analysis of Hydro-Turbine Governing System with Multistochastic Factors

Author:

Li Jianling1,Chen Diyi2,Zhang Hao3,Liu Jing1

Affiliation:

1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Shaanxi Yangling 712100, China; Institute of Water Resources and Hydropower Research, Northwest A&F University, Shanxi Yangling 712100, China

2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Shaanxi Yangling 712100, China; Institute of Water Resources and Hydropower Research, Northwest A&F University, Shaanxi Yangling 712100, China; Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, P

3. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Shaanxi Yangling 712100, China; Institute of Water Resources and Hydropower Research, Northwest A&F University, Shaanxi Yangling 712100, China

Abstract

Abstract This paper explores the stability of a hydro-turbine governing system (HTGS) under simultaneous effects of multistochastic factors. Specifically, three different sets of stochastic factors are introduced into the governing system, and the corresponding mathematical model with multistochastic factors is proposed. Then, seven cases are performed to reveal the dynamic characteristics of the governing system, including the excitations of only single stochastic factor, two stochastic factors, and three stochastic factors with different combinations of stochastic parameters. The results show some interesting phenomena. First, the stability of the system is weakened by introducing stochastic variables ω2 and ω3 into the inlet pressure of hydro-turbine (h2) and the bottom pressure of the surge tank (h3) separately, or both. Second, the negative effects of the stochastic characteristics of h2 and h3 on the governing system are reduced by introducing the stochastic variable (ω1) into the hydro-turbine flow (q1), on the basis of fully considering the influence of the stochastic characteristics of h2 and h3. Third, stochastic factors are generally considered to be unfavorable, but it may help the system to reach a global optimum status under certain conditions, which break through the habit of empirical thinking. Finally, this work not only provides a new insight for stochastic phenomena existing in engineering system, but also lays a theoretical basis for the safe and stable operation of the hydropower stations.

Publisher

ASME International

Subject

Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3