The siting of offshore booster stations for power collection systems has an important impact on the construction and operation costs of offshore wind farms. The siting problem of offshore booster stations is essentially an optimization problem based on the topology of the submarine cable. The key to siting optimization of the offshore booster station lies in determining the optimal submarine cable routing. A DMST?PSO algorithm, combining the dynamic minimum spanning tree (DMST) algorithm with dynamic edge weights and the particle swarm optimization (PSO) algorithm, is proposed for the siting of offshore booster stations for wind power collection systems, aiming at economic optimization. The DMST algorithm first obtains a minimum cost function with the offshore booster station’s coordinate as the independent variable. Then, the PSO algorithm is applied to identify the optimal siting by minimizing the value of this function. The example shows that the DMST?PSO algorithm can achieve economically optimal siting of offshore booster stations, with the advantages of high computational efficiency and fast convergence.