论文部分内容阅读
为了研究在复杂地形下的风力机优化排布方法,提出一种改进粒子群(PSO)优化方法,并借助风速回归函数解决一部分复杂地形所致的问题,对实际尾流效应设置约束条件,判断风能利用的最优方案,从而快速确定风力机具体安放坐标,通过Matlab建模仿真,并借助WAsP软件对改进PSO优化算法和传统方法进行对比验证。结果表明,改进粒子群(PSO)优化方法与传统方法相比,年发电量提高了近5.2%,且对复杂地形下的风电场优化布局效果较好。
In order to study the optimization arrangement method of wind turbine under complicated terrains, an improved Particle Swarm Optimization (PSO) method is proposed. The wind speed regression function is used to solve some problems caused by complex terrain. The constraint conditions are set for the actual wake effect. Wind energy to optimize the program to quickly determine the specific wind turbine coordinates, through Matlab modeling and simulation, and WASP software to improve the PSO optimization algorithm and the traditional method of comparison and verification. The results show that compared with the traditional method, the improved particle swarm optimization (PSO) method can increase the annual power generation by nearly 5.2% and has a good effect on the optimized layout of wind farms under complex terrains.