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  • 标题:Optimization of hydraulic turbine governor parameters based on WPA
  • 本地全文:下载
  • 作者:Chunyang Gao ; Xiangyang Yu ; Yong Zhu
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:108
  • 期号:5
  • 页码:052011
  • DOI:10.1088/1755-1315/108/5/052011
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:The parameters of hydraulic turbine governor directly affect the dynamic characteristics of the hydraulic unit, thus affecting the regulation capacity and the power quality of power grid. The governor of conventional hydropower unit is mainly PID governor with three adjustable parameters, which are difficult to set up. In order to optimize the hydraulic turbine governor, this paper proposes wolf pack algorithm (WPA) for intelligent tuning since the good global optimization capability of WPA. Compared with the traditional optimization method and PSO algorithm, the results show that the PID controller designed by WPA achieves a dynamic quality of hydraulic system and inhibits overshoot.
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