基于粒子群算法的海上风电场优化布置

Optimal Layout of Offshore Wind Farms Based on Particle Swarm Optimization

海上风电场的合理布置可以降低投资,实现风场收益最大化。以往的布置方法通常优先考虑风机尾流影响,确定风机排布后再对集电线路进行布置,忽略了集电线路成本对风机排布的影响。以国内某已建成的海上风电场为例,综合考虑风机尾流和集电线路的影响,基于粒子群算法对海上风电场进行优化布置,结果表明:与传统方法相比,该布置方法度电成本降低了0.61%。

The rational arrangement of offshore wind farms can reduce investment and maximize wind farm revenue. The previous arrangement method usually gives priority to the influence of the fan wake, and then arranges the collector circuit after determining the fan layout, ignoring the impact of the collector circuit cost on the fan layout. Taking a built offshore wind farm in China as an example,comprehensively considering the influence of wind turbine wake and current collecting lines, the optimal layout of the offshore wind farm is based on particle swarm algorithm. Compared with the traditional method, the results show that the layout method is more efficient electricity costs decreased by 0.61%.