增量模型控制压力恒定的多源供水实时调度

针对多水源供水管网系统参数多及变量间存在耦合，难以实现合理实时调度而导致水压多变等问题，提出一种基于增量模型控制压力恒定的多源供水管网系统优化调度策略. 依据用户流量参数预测建立增量模型，以分界监控点压力参数恒定为目标函数推导多水源调度策略，并调节机泵输出压力，机泵启停状态及变频机泵转速为优化决策变量. 鉴于供水系统模型的非线性和混合变量的耦合性，采用蚁群算法进行优化，引进扰动因子并修正搜索转移步长和动态挥发系数来提高全局寻优能力. 算例仿真表明，该模型和方法可快速找到优化调度的最优解，跟踪流量变化和保持监测控制节点实时压力恒定的效果好，为多水源的实时协调调度提供了好的基础.

Optimal scheduling based on increment model control the water pressure constant in multi-source system

With the multi-parameter and coupled variations in the multi-source water supply system, it was difficult to be real-time regulated and the nodal pressure was highly variable, so an optimal scheduling strategy was proposed, which was based on multi-parameter controlling the pressure constant. Firstly, the flow parameter increments model was established by predicting the nodal hourly water demands, and the variations of nodal pressures were obtained. Then the scheduling strategy was deduced from controlling the constant monitoring pressure parameters. At last, the parameters of typical pipe flow directions, pumps operation status and speed changes, pumps output flow were regarded as decision variables to be regulated. In view of the nonlinear model and the coupled discrete and continuous variables, ant colony algorithm was used to optimize the scheduling, with the disturbance factors, exploration transfer ways and dynamic evaporations to improve the global optimization ability and convergence rate. The test results show that the new strategy can find the optimal schedule solution quickly, and well track the nodal stream variations to keep the constant monitoring nodal pressure, thus it strengthens the real-time regulation ability of multi-source water supply system.