摘要
以Elman神经网络算法的风速预测方法作为基础,建立了单台永磁直驱同步发电机（PMSG）风电机组在强风波动条件下运行的数学模型。该模型能够较好地反映实际风电场风速的随机性和突变性。考虑到传统的出力规律与风电在强风模型下出力规律的映射关系,利用传统的出力规律与风电在强风模型下出力规律之间的偏差作为参考值,并引入对PMSG风电机组桨距角、转速的PI控制策略,基于此并考虑到电网调度对风电机组出力的要求,建立了对单台PMSG风电机组在强风波动条件下短期出力进行控制的模型。进一步利用真实短期风速算例仿真,结果表明该模型能够在瞬时风速为25-35 m/s时对风力机出力进行有效平稳的控制。
We take the wind speed forecasting method of the Elman neural network algorithm as the foundation,establishing the mathematical model of operation when a single permanent magnet direct-drive（ PMSG） wind turbines under the condition of strong wind. Considering the mapping relation between the output power of the traditional law and the law of output power under the strong wind model,we used the deviation between the output law of the traditional and law of the output power under strong wind model as the reference,introducing the PI control strategy for PMSG wind turbines pitch Angle, rotation speed, so considering the requirement of power grid dispatch to output power,an single PMSG wind turbine of shortterm output control under the condition of strong wind model is established. The further example simulation with real short-term wind speed show that the proposed model can effectively smooth control the output power of wind turbine when the instantaneous wind speed of 2 5 ~ 3 5 m/s.
出处
《电机与控制应用》
北大核心
2015年第3期45-50,共6页
Electric machines & control application
基金
国家自然科学基金项目(51267017)
新疆自治区重大攻关项目(201230115)
教育部创新团队项目(IRT1285)
关键词
永磁同步风力发电机
强风控制模型
PI控制
短期出力稳定控制
permanent magne synchronous generator wind turbine
strong wind control model
PI control
output power control of short-term
