可再生能源2024，Vol.42Issue(1)：79-86,8.
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
摘要
Abstract
Due to the intermittency 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.关键词
平滑效应/海上风电场汇集系统/遗传算法/拓扑优化Key words
smoothing effect/collection system of offshore wind generation/genetic algorithm/topology optimization分类
能源与动力引用本文复制引用
谢珍建,许偲轩,李辰,李海波,江坷滕,鲁宗相..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[J].可再生能源,2024,42(1):79-86,8.基金项目
国网江苏省电力有限公司咨询研究项目(B710K02135JB). （B710K02135JB）
