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Parameter optimization for turbine DEH control system based on Improved Genetic Algorithm

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2 Author(s)
Na Li ; North China Electr. Power Univ., Baoding, China ; Lixia Lv

Improved Genetic Algorithm is used for parameter optimization of turbine DEH governing system. The algorithm can avoid the premature convergence effectively and improve the global and local search ability. The optimization results show that such method has the advantages of fast computation, high precision, and better program generality. It provides a new way for parameter optimization of steam turbine governing system.

Published in:

Control and Decision Conference (CCDC), 2010 Chinese

Date of Conference:

26-28 May 2010