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针对高速线材厂冷却水循环系统中多台变频调速水泵能耗高、效率低的问题,对调速水泵的特性进行了分析,建立了以能耗为最小的优化运行数学模型,并简化了不等式约束条件,在求解数学模型的过程中,提出了一种新的混合遗传算法,将遗传算法与混合遗传算法相结合,并融入了一种新的处理约束条件的方法。避免了处理约束条件时遇到的困难和遗传算法易早熟、易收敛等缺陷,使得处理约束问题简单化,并提高了收敛速度。最后通过仿真实验验证了此算法对于解决水循环系统中多台变频调速水泵并联优化运行问题的有效性。
In order to solve the problem of high energy consumption and low efficiency of many variable frequency speed regulating pumps in the cooling water circulation system of high speed wire mill, the characteristics of speed regulating pumps were analyzed. The optimal operation mathematical model with minimum energy consumption was established and the inequality In the process of solving the mathematical model, a new hybrid genetic algorithm is proposed. The genetic algorithm is combined with the hybrid genetic algorithm, and a new method to deal with the constraints is also introduced. Which avoids the difficulties encountered when dealing with constraints and the premature convergence and easy convergence of genetic algorithms, simplifies the processing constraints and increases the convergence speed. Finally, the simulation results show that this algorithm is effective to solve the parallel optimization of multiple variable frequency (VVVF) pumps in water circulation system.