Hydro Turbine Nonlinear Model Parameter Identification Based on Improved Biogeography-Based Optimization

Abstract:

The nonlinear model of hydro turbine considering the elastic water column was proposed, and the improved biogeography-based optimization (IBBO) algorithm was applied to identify parameters of this model. The cosine species migration model and the elitist reservation strategy were introduced into the algorithm to improve operating efficiency. Based on measured data, comparison of the effects of different identification methods was presented, including the IBBO algorithm, genetic algorithm (GA) and particle swarm optimization (PSO). The results demonstrated that the IBBO algorithm can be applied in parameters identification of hydro turbine nonlinear model, and it has the advantages of faster convergence and higher precision.

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 1617-1621
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.1617
• Online since: October 2014
• Authors: Jie Zhao*, Li Wang, Yu Heng Tang, Di Chen Liu, Wen Tao Sun
• Keywords: Elitist Reservation Strategy, Improved Biogeography-Based Optimization, Nonlinear Model of Hydro Turbine, Parameter Identification

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