摘要
考虑到部分空载并网时达到稳定状态较慢、拟合精度较低的问题,提出了一种风力发电机组空载并网智能控制方法。设计智能控制,控制对象输出量与期望输出量相同;通过最近邻聚类算法获得初始的智能控制规则,再利用神经网络进行规则优化;综合智能控制与控制策略,实现风力发电机组空载并网智能控制。实验结果显示:风机发电组空载并网智能控制方法较常规控制方法早2 s达到稳定状态;智能控制方法的拟合误差平方和低于常规控制方法,表明智能控制方法对样本的拟合精度较高,在控制风力发电机组空载并网时的效果越好。
Considering the problems of slow reaching the steady state and low fitting precision when part of the wind turbine is connected to the grid,an intelligent control method of wind turbine is proposed.Intelligent control is designed,and the output of the control object is the same as the expected output.The initial fuzzy control rules are obtained by the nearest neighbor clustering algorithm and the rules are optimized by the neural network.The fuzzy control and control strategy are integrated to realize the intelligent control of wind turbine with no load.Experimental results show that:compared with conventional control method,the intelligent control method of no-load grid-connection reaches a stable state sooner.The quadratic sum of fitting errors of the intelligent control method is lower than that of the conventional control method,which indicates that the intelligent control method has a higher fitting precision for samples,and the better effect when the wind turbine is connected to the grid without load.
作者
葛苁
边辉
孙屹岱
GE Cong;BIAN Hui;SUN Yidai(Guohua(hebei)new energy co.LTD,ZhangJiaKou HeBei 075000,China)
出处
《自动化与仪器仪表》
2020年第4期78-81,共4页
Automation & Instrumentation
基金
国网河北省电力公司科技项目“电网调度应急处置关键技术研究”(No.kj2015-0214)
关键词
风力发电机组
空载并网
智能神经网络控制
wind turbine
no-load grid-connected
intelligent neural network control
作者简介
葛苁(1984-),男,内蒙古商都人,工程师,主要研究方向为风电运维。
