Optimization of Ship Battery Swapping Station Siting on the Yangtze River Mainline Based on Particle Swarm Algorithm

A research method for siting and capacity determination of electric ship battery swapping stations is proposed, aiming to minimize the total construction and operation costs. A cost model of the battery swapping station is first established, taking into account the land price and electricity price of each port. Then constraints are given to ensure that the battery swapping station meets the ship operation requirements. Finally, the particle swarm algorithm based on the constrained optimization problem is used to solve the model, and the optimal location of the battery swapping station from Wuhan to Shanghai is obtained. This method can help reduce the construction and operation costs of battery swapping stations on the Yangtze River mainline.