随着海上风电朝着深远海、大型化的方向发展，市场上风电机组的迭代速度加快，而海上风电场整体开发周期长，与风电机组的机型研发速度不相匹配，故在海上风电场的开发过程中可能会将不同型号的风电机组进行组合布机；但要如何在不同机型的搭配方式中，从经济性与可靠性的角度选择出最佳的拓扑结构进行连接，是混搭风电机组拓扑结构优化的主要难点之一。因此，构建考虑混搭风电机组的海上风电场集电线路拓扑结构动态优化方法，以改进K-means算法和改进Prim算法完成海上风电场的回路划分、路径设计；采用动态交叉优化策略完成拓扑中海缆交叉的处理，权衡每个拓扑方案的经济性与可靠性成本，进行最佳拓扑结构输出；最后通过不同混搭风电机组场景下的拓扑优化结果，验证该方法的有效性。

The iterative pace of wind turbines entering the market is quick due to the development of offshore wind power in the deep sea and large-scale directions, but the overall development cycle of offshore wind farms is lengthy and does not keep up with the pace of wind turbine model research and development. Therefore, various wind turbine generator (WTG) models may be combined and deployed during the development of offshore wind farms; however, one of the key challenges in optimizing the topology of mixed-match WTGs is deciding which topology is the best from the perspectives of economy and reliability among various models. Therefore, the circuit division and path design of offshore wind farms are completed by the improved K-means algorithm and the improved Prim algorithm, and the dynamic cross optimization strategy is adopted to complete the handling of the cross of the sea cables in the topology. Finally, the economy and reliability cost of each topology scheme are calculated. The efficacy of this method is demonstrated by the topology optimization outcomes for several mixed-match WTG scenario situations.