考虑相关性与平滑效应的海上风电场集群汇集系统拓扑优化

Topology optimization of offshore wind farm cluster collection system considering correlation and smoothing effects

海上风力发电在时间尺度上具有间歇性和不确定性,空间尺度上具有互补性。传统规划方法线路容量利用不足,风力发电成本高。文章结合大规模风力发电出力特性,考虑风电平滑效应、输电工程建设成本、风力弃电成本、输送风力发电收益,建立了海上风电场汇集系统的经济性评估模型,采用改进的遗传算法对模型进行求解。基于动态变权最小生成树对遗传算法进行改进。最后,以江苏某海上风电场集群为例,对风机拓扑结构和风电场汇集连接方式进行了优化求解。结果表明,所提算法具有较好的寻优性和收敛性,所建立的海上风电场及内部风机拓扑优化模型能有效减少工程投资。

Due to the intermitency and uncertainty of wind power on the time scale and complementarity on the spatial scale,the line capacity is underutilized and the cost of wind power is high in traditional planning.Combined with the output characteristics of large-scale wind power,considering the smoothing effect,the construction cost of transmission projects,the cost of wind power curtailment,and the income,the economic evaluation model of offshore wind farm aggregation system is established,and the model is solved by using an improved genetic algorithm.The genetic algorithm is improved based on the minimum spanning tree of dynamic weight variation,and the coding,selection,crossing,and mutation links in the genetic algorithm are improved to promote the efficiency of the algo-rithm.Taking a wind farm cluster in Jiangsu Province as an example,the topology of wind turbines and the convergence and con-nection mode of wind farms are optimized,and the results show that the proposed algorithm has good optimization and convergence.And the established topology optimization model of wind farm and internal wind turbines can effectively reduce the engineering investment.