海上风电场布局协同优化算法

Collaborative Optimization Algorithm for Offshore Wind Farm Layout

在海上风电场中,风机位置及间距选择会影响风机的发电效率,而风机间电缆线路拓扑会影响风场的电网规划,两者间相互影响和制约。针对海上风电场主要设备间的相互关系进行研究,分析并量化风机尾流对发电效率的影响和电缆拓扑连接对总体成本的影响。从全生命周期的角度出发,以海上风电场度电成本最低为优化目标,建立海上风机选址及电缆线路拓扑度电成本协同优化模型,并对相关案例进行分析,结果表明:所提出的协同优化模型相对于常规独立优化模型具有更好的度电成本优化效果,对未来我国大规模开展海上风电场规划具有重要指导意义。

In offshore wind farms,the selection of wind turbine locations and spacing impacts the efficiency of electricity generation,while the layout of inter-turbine cable networks affects the wind farm's grid planning.These factors are interconnected and mutually restrictive.Research into the relationships among key components in offshore wind farms involves analyzing and quantifying the effect of wind turbine wake on generation efficiency and the impact of cable network topology on total costs.Approaching from a full lifecycle perspective and aiming to minimize the cost per unit of electricity for offshore wind farms,a collaborative optimization model for wind turbine siting and cable network topology is developed.Case studies show that this collaborative optimization model outperforms traditional independent optimization approaches in reducing the cost of electricity,offering valuable guidance for the future large-scale deployment of offshore wind farms in China.