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机构地区:[1]山东大学控制科学与工程学院,济南250061 [2]山东大学
出 处:《机械工程学报》2004年第3期100-105,共6页Journal of Mechanical Engineering
基 金:国家863计划课题(2002AA412130);山东省自然科学基金(Y2001G01)
摘 要:供水泵站的效率优化控制和调度是一类复杂的有约束非线性规划问题,其建模及求解问题都比较麻烦。针对G.Cohen流量偏差模型的不足,提出一种符合水泵并联运行特性的最小流量偏差效率优化改进模型,并改进了简化高效区约束条件,明显缩短了优化求解时间,而求解精度不受影响。介绍了一种有效的城市供水系统的短期负荷预测方法,其总体平均误差只有1.7%,能较精确地预测出3~4天内的用水量。大量的试验结果证实了优化模型的有效性,新模型易于满足工程上的实时性要求,具有较高的应用价值。研究成果已用于实际工程,取得良好的应用效果。The optimization control and the optimal scheduling of water supply pumping stations belong to the complicated nonlinear bounded programming category. It is difficult to model and solve this problem due to the multi-variable coupling and high nonlinear pump model as well as the synthesis of continuous and discrete variables. To remedy the defects of the flow difference model proposed by G.Cohen, an improved model on flow difference minimization is given out which satisfies the parallel characteristics of pumping stations. It proposes the simplified constraints to solve the solution complexity of precise constraints of high-efficiency operational areas, reducing the solution time greatly and maintaining the precision. A effectual approach is used to predict the short-term load for urban water supply system, which can predict the load in the next three or four days with the error of only 1.7%. It's easy to satisfy the demand of real time controlling in engineering with high appliance value. 0-1 enumeration and Wolfe reduced gradient method is used to solve the model, the can obtain the satisfying control strategy. A lot of experimental results illuminated the validity of the optimization model. Some research fruits are applied to real engineering with good impression.
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