海上风电场集电系统拓扑结构优化研究

Study on topology optimization of electrical collector system for offshore wind farm

为了优化海上风电场集电网络拓扑结构,选取受拓扑结构影响较大的中压海底电缆一次投资成本和运行损耗成本作为优化模型。通过改进模糊聚类算法,以集电系统电缆使用总长度最小为目标函数将风电场分区,在以Delaunay三角剖分技术形成的网络上动态调整各边权值并反复迭代后得到总费用最小的树状优化拓扑。算例结果证明算法的有效性,且传统的基于风机间距离的最小生成树算法优化结果得到进一步改善。

In order to optimize the topology of electrical collector system of offshore wind farm, the medium-voltage submarine cable cost, including investment cost and operating loss cost, which are both associated with the topology of collector system, is employed to establish the optimization model. FCM algorithm is improved to partition collector system, based on the minimum cable length. By adjusting the weights of each edge dynamically and iterating repeatedly on the Delaunay net generated on each subarea of collector system, the optimal tree topology with minimum total cost is obtained. Results of case study show that the optimization method is effective and the results of classical minimum spanning tree algorithm based on the distance between wind turbines are further improved.