基于粒子群算法的风力机优化布置研究

Research of Wind Farm Layout Optimization Problem based on PSO Algorithm

风力机的优化布置是风电场规划中的关键环节,其布置方案的优劣直接影响风资源的利用率以及风电场的经济性水平。本文以粒子群优化算法(PSO)为基础,开展了风力机优化布置程序的开发研究工作,并通过与其他文献的对比,首先进行了PSO算法的确认,然后在此基础上,应用该算法开展了风电场不同入流风速情况对其年发电量、经济性和风力机最优布置方案的影响研究。

One crucial part of the wind farm design is the optimization of the wind turbine layout, which directly affects the utilization of wind resource and the economy of the wind farm. In this paper, an optimization program based on the Particle Swarm Optimization （PSO） algorithm was developed for the wind turbine layout from a research perspective. Firstly we validated this program by comparing it with other algorithms. Furthermore, we used this program to investigate how the wind speed affects the economy and the optimized layout solution of a wind farm.