Abstract:

Aiming at the problem of insufficient reliability and practicability of the optimal flow distribution scheme caused by the flow monitoring error in the water pumping process of the water diversion pump station, the optimal flow distribution model of the pump station is constructed based on the particle swarm optimization algorithm. The response law of the number of pumping stations and the overall efficiency to the flow monitoring error is revealed, and the sensitive area of the optimal number of pumping stations is identified to guide the real-time control of the pumping station. Taking the Liyuzhou Pumping Station of the Pearl River Delta Water Resources Allocation Project as an example, the results show that the sensitive area of the optimal number of pumping stations is mainly concentrated in the transition zone of the adjustment of the number of pumping stations. When the flow monitoring error is constant, the sensitive area of the optimal number of boots expands with the increase of flow, and the proportion of the sensitive area of the number of boots is positively correlated with the absolute value of the flow monitoring error. The flow monitoring error causes the efficiency change of the pumping station to be concentrated within 2 %. Therefore, in the formulation of the pumping station start-up plan, in view of the fact that the operating conditions at the transition interval of the number of start-ups are sensitive to the flow monitoring error, it is necessary to pay special attention to the flow monitoring error at the corresponding operating conditions to reduce the non-essential unit regulation.

Key words: water diversion pump station, optimal flow distribution, sensitivity analysis, flow monitoring error, particle swarm optimization algorithm