Application of Improved Whale Optimization Algorithm in Parameter Identification of Hydraulic Turbine at No-Load

被引：0
作者：
Tian Tian
Wei Zhao
Wenxi Zhen
Changyu Liu
机构：
[1] Huazhong University of Science and Technology,School of Hydropower and Information Engineering
[2] State Grid Gansu Electric Power Research Institute,undefined
来源：
Arabian Journal for Science and Engineering | 2020年 / 45卷
关键词：
Hydraulic turbine governing system; Hydroelectric generating unit; No-load; Parameter identification; Whale optimization algorithm; Measured data;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The accuracy of hydraulic turbine model has a direct influence on controller design and system stability. This paper presents an improved whale optimization algorithm (IWOA) and its application in parameter identification of hydraulic turbine at no-load. In IWOA, two strategies including the increase in global exploration probability and combination of immune operator are introduced to avoid local optimum. Besides, in the identification process, the adaptive modification method is developed to solve the estimated parameter range uncertainty problem. Finally, in the example of Unit 4 in Huanglongtan Hydropower Plant, China, the results of different methods are compared. Considering the indicators of cost, iteration and total computation time, the results show that IWOA has faster convergence and higher precision than WOA.
引用
收藏
页码：9913 / 9924
页数：11
相关论文
共 79 条
  • [1] De Jaeger E(1994)Hydro turbine model for system dynamic studies IEEE Trans. Power Syst. 9 1709-1715
  • [2] Janssens N(1999)Closed-loop identification revisited Automatica 35 1215-1241
  • [3] Malfliet B(1995)Identifying a hydraulic-turbine model from measured field data IEEE Trans. Energy Convers. 10 768-773
  • [4] Van De Meulebroeke F(2007)Simulated response of NN based identification and predictive control of hydro plant Expert Syst. Appl. 32 233-244
  • [5] Forssell U(2007)Model identification of controlled subject for hydro turbine governing system Water Resour. Power 25 77-79
  • [6] Ljung L(2006)Parameters identification for hydraulic turbine governing systems based on genetic algorithm Relay 34 27-30
  • [7] Trudnowski DJ(2014)Improved gravitational search algorithm for parameter identification of water turbine regulation system Energy Convers. Manag. 78 306-315
  • [8] Agee JC(1995)On-line identification of field water turbine and PID parameter syntheses of governor J. Hydroelectr. Eng. 50 64-71
  • [9] Kishor N(1996)Genetic algorithms: concepts and applications IEEE Trans. Ind. Electron. 43 519-534
  • [10] Singh SP(2000)A novel genetic algorithm based on immunity Syst. Man Cybern. Part A Syst. Hum. IEEE Trans. Syst. 30 552-561
12345678