Title :
Applications of immune genetic algorithm in frequency speed control pumping station
Author :
Wang, Jin ; Wang, Hui ; Zhang, Hong ; Meng, Xing-Ping
Author_Institution :
Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
Abstract :
Circulating cooling water system of high speed wire factory was in trouble for pumps working in higher energy consumption and lower efficiency. The paper analyzed the characteristic of speed water pump. Mathematical model was established with the optimized goal of the lowest energy consumption and it simplified inequality constraint conditions. Immune genetic algorithm (IGA) to handle constrained problems was proposed. It simplified handling constraint condition and the premature convergence of genetic algorithm, which made handling constraint problem easier and improved the global search ability of the algorithm. Simulation results show that it is an effective algorithm to solving optimal problem of frequency speed control pumps in water circulating system.
Keywords :
frequency control; genetic algorithms; pumping plants; velocity control; water supply; circulating cooling water system; energy consumption; frequency speed control pumping station; global search ability; handling constraint problem; immune genetic algorithm; wire factory; Constraint optimization; Cooling; Energy consumption; Frequency; Genetic algorithms; Mathematical model; Production facilities; Velocity control; Water; Wire; Circulating cooling water system; Immune genetic algorithm; Intelligent Control;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262680