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. [ABSTRACT FROM AUTHOR]