基于遗传算法给水管网状态估计

摘要

从给水管网运行工况的在线模拟角度出发,基于遗传算法(GA)对建立的管网微观水力模型进行了状态估计,针对模型特点采用实数编码的编码方案,以及自适应的交叉和变异算子,并用算例对模型进行了验证,结果表明:状态估计是正确可行的,估计的精度较高,能满足管网实时模拟的要求.%Based on the genetic algorithm (GA), the state estimation of the established micro-hydraulic model of the pipe network was carried out from the point of view of on-line simulation of the operating conditions of the water supply network.Real number encoding is proposed according to the model features, an adaptive crossover and mutation operator.Moreover, the model is verified by an example.The results showed that the algorithm is correct and feasible.The accuracy of the estimation is high and it can meet the requirements of real-time simulation of pipe network.