基于粒子群算法的矿山串级排水系统喂水泵调速技术研究

Booster pump speed regulation technology of mine cascade drainage system based on PSO

为解决矿山排水系统能耗高、效率低的问题,基于粒子群(PSO)算法开展了矿山串级排水系统优化设计。依据两台不同型号的离心泵串联运行理论,结合变频调速比例定律,推导主排水泵流量、扬程与喂水泵速度之间关系。以排水系统效率为优化目标,利用PSO算法对其进行极值寻优,以喂水泵额定转速对应的主排水泵和喂水泵电机电流、电压、功率因数以及喂水泵和主排水泵出口压力、流量为初始参量,通过限制迭代次数得到排水系统总效率理论极值,确定喂水泵最佳转速,并通过变频调速实验对其进行可行性验证。结果表明:所提出的喂水泵最佳转速确定方法具有较高的调速精度,可确保排水系统在高效工况区运行,进而达到节能降耗目的。

Aiming at the high energy consumption and low efficiency of mine drainage system,mine cascade drainage system is optimized based on particle swarm optimization(PSO)algorithm.According to the cascade operation theory of two different types of centrifugal pumps and the proportional law of speed regulation by frequency conversion,the relationship between the flow and head of the main drainage pump and the speed of the booster pump is deduced.Taking the efficiency of drainage system as the optimization objective,the extreme value is optimized by PSO algorithm.Under the rated speed condition of the booster pump,taking the current,voltage and power factor of the main drainage pump motor and booster pump motor,as well as their outlet pressure and flow as the initial parameters,the theoretical extreme value of the total efficiency of the drainage system is obtained by limiting the number of iterations,and the optimal speed of the booster pump is determined.Its feasibility is verified by the speed regulation experiment by frequency conversion.The results show that the proposed method has high accuracy for speed regulation.