摘要
针对大型风电机组在运行时会承受较大的不平衡载荷,提出一种基于BP神经网络PID(BP-PID)的独立变桨距控制策略,在独立变桨距载荷控制回路,通过BP神经网络的在线学习来整定PID控制器参数,以此减轻机组的不平衡载荷。使用Matlab和FAST进行联合仿真,仿真结果表明,与传统PI独立变桨距控制策略相比,该控制策略在保证机组输出功率稳定的同时,在减轻机组不平衡载荷方面效果更明显,更适合大型风电机组独立变桨距控制。
Large-scalewindturbinesaresubjecttolargeunbalancedloadduringoperation.Aimingatthis problem,an individual pitch control strategy based on BP neural network PID was proposed,in the load control loop,PID controller parameters were adjusted online by BP neural network to reduce the unbalance load of the unit.Using FAST software and Matlab to simulate,the simulation results show that this control strategy not only ensures the stability of the unit output power,but also is more effectively in reduces the unbalanced load of the unit than the traditional PI individual pitch control strategy,and more suitable for the individual pitch control of large-scale wind turbine.
作者
王欣
陈金林
秦斌
易怀洋
WANG Xin;CHEN Jinlin;QIN Bin;YI Huaiyang(School of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,Hunan,China)
出处
《电气传动》
北大核心
2018年第11期48-52,共5页
Electric Drive
基金
国家自然科学基金(61673166)
湖南省自然科学基金(2017JJ4022)
湖南省教育厅科研重点项目(15A050
17A053)
湖南省高校科技创新团队
湖南省研究生创新基金(CX2015B564)
关键词
风力发电
独立变桨距控制
BP神经网络
疲劳载荷
wind power generation
individual pitch control
BP neural network
fatigue load
