Simulation of Automatic Control of Pump Station Operation Based on Hybrid Particle Swarm Optimization Algorithm
To improve the energy efficiency of pumping stations,it is necessary to minimize energy consumption while meeting the demand for water conservancy.To address this issue,an automatic control method for pumping sta-tion operation based on mean shift algorithm was proposed.Firstly,the mean shift algorithm was adopted to track the operating parameters of the pumping station in real time,thus obtaining the operating status.And then,the minimum start-stop count and minimum total energy cost of pump station were set as the objective functions,an automatic con-trol model for pump station operation was built.Finally,the model was solved by the hybrid particle swarm algorithm to obtain the optimal scheme for pump station operation.The simulation results show that the proposed method can ef-fectively reduce the electricity consumption of water intaking at the pumping station and improve the operational sta-bility of the pumping station units,while reasonably reducing the start-stops count of pump group.Therefore,this method can achieve the intended goals of safe and energy-efficient operation.
Mean shift algorithmPumping station operationAutomatic controlStart/Stop countHybrid particle swarm optimization
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