摘要
煤矿企业在煤矿开发及其运输过程中耗费大量的电能。为了节约成本,太阳能发电成为一种新型选择。为了提高太阳能发电效率,要寻找其最大功率点。提出了基于粒子群的牛顿法,可以判定出有多个峰值的最大功率。利用Simulink和MATLAB仿真软件建立多峰值功率曲线,搭建仿真电路,对比了输出波形,验证了粒子群优化的牛顿法的有效性。
Coal mining companies consume a lot of energy during the development and transportation of coal mines. In order to improve the power generation efficiency, must track the maximum power point of a photovoltaic panel. Newton interpolation method based on particle swarm optimization is proposed,which can quickly and accurately track the maximum power point of multi-peak. Simulink and MATLAB simulation software was used to verify the effectiveness of Newton method of particle swarm optimization.
作者
孙秀娟
卞晓雪
张鹏飞
SUN Xiu-juan;BIAN Xiao-xue;ZHANG Peng-fei(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《煤炭技术》
CAS
2019年第2期135-137,共3页
Coal Technology
基金
青岛市铝离子动力与储能电池顶尖人才团队计划(17-2-1-lzhc)
关键词
光伏阵列
局部阴影
粒子群算法
牛顿法
photovoltaic arry
local shadow
particle swarm optimization
Newton method
