摘要
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 on wind turbine arrangement optimization method in complex terrain,this paper put forward an improved particle swarm（PSO）optimization method.The regression function of wind speed distribution was applied to solve problems caused by the complex terrain.By setting constraints for actual wake effect,optimal solution of wind energy utilization was estimated.So,the specific position coordinates of installed wind turbine were determined quickly.Through modeling and simulation with Matlab,WAsP software was used to verify improved PSO algorithm and the traditional optimization method.Compared with the traditional optimization method,the results show that annual power generation obtained by the proposed method increased 5.2%.Furthermore,this method is practical and effective for the complex wind farm layout optimization.
出处
《水电能源科学》
北大核心
2016年第1期190-193,31,共5页
Water Resources and Power
基金
博士点基金资助(20130162110062)
中南大学研究生自主创新项目(2013zzts204)
可再生能源电力技术湖南省重点实验室(长沙理工大学)开放基金资助项目(2012ZNDL008)
关键词
复杂地形
风电场优化排布
风速分布回归函数
改进粒子群优化算法
complex wind farm
optimization layout of wind farm
wind speed distribution regression function
improved PSO algorithm
