基于遗传的海上风电集电系统拓扑优化

Topology optimization of offshore wind power collection system based on genetic DMST

针对海上风电工程集电线路拓扑的自动优化布置,文章以集电线路的全寿命周期成本作为目标函数,海缆选型和海缆交叉规避作为主要约束条件,建立数学模型,同时基于动态边权最小生成树算法改进遗传算法的种群生成方式以扩大算法的搜索解空间,以期凭借较好的寻优能力求解集电系统拓扑优化问题,提升海上风电场的综合效益。海上风电场项目算例结果验证了方法的有效性和快速性,可为海上风电集电系统规划设计提供具有实用价值的参考。

For the automatic optimization layout of offshore wind farm collection grid topology,this paper establishes a mathematical model with the lifecycle cost of the collection grid as the objective function,and the selection of subma-rine cables and avoidance of submarine cable crossings as the main constraints.Additionally,the paper adopts an im-proved genetic algorithm based on dynamic edge-weighted minimum spanning tree algorithm to expand the algorithm's search solution space.This is aimed at solving the optimization problem of the collection system topology in offshore wind farms with better optimization ability,thus enhancing the overall efficiency of offshore wind farms.Case study re-sults of offshore wind farm projects validate the effectiveness and efficiency of the proposed method,providing practical references for the planning and design of offshore wind farm collection systems.