Abstract
Pumping station transfers water from Yangtze River, and the head of is varied frequently within a wide range due to the tidal water. Taking Jiangdu parallel pumping stations in China as a case, under the premise of pumping certain volume of water per day, considering head varying and time-varying electrical price, mathematical models were established aiming at the minimum operation cost and solved with Simulated Annealing Particle Swarm Optimization. The number of running pump units and pump unit operation duties were determined in different time periods. The results indicate that operation cost of optimal operation schemes considering time-varying electrical price and adjusting blade angles is saved 13.72% than that of not considering.
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