摘要
在分析了双电流闭环控制策略不足的基础上,提出了一种基于神经网络自适应的双电流闭环联合控制策略,该策略利用神经网络技术对控制器参数进行实时自适应调整,提高了控制器运行效率,优化了整个双电流闭环控制结构。在不对称故障下的仿真实验表明,该控制策略能够消除直流侧电压波动和削弱直流侧电压纹波分量,系统动态响应快、控制效果好。
A new double current closed loop control strategy based on neural network self-adaption is proposed by ana- lyzing the shortages of double current closed loop control strategy. Neural network technology is used in this strategy to realize the self-adaption of controllerg parameters in real-time, and improve operational efficiency of controller, and opti- mize the whole double current closed-loop control structure. The asymmetric fault simulation results show that the control strategy is more effective to DC side voltage fluctuation elimination and voltage ripple component decrease, and it has faster system dynamic response speed and better control efficiency.
出处
《电气开关》
2013年第1期54-58,共5页
Electric Switchgear
关键词
双馈异步风力发电机
网侧变换器
不对称故障
双电流闭环控制
神经网络自适应
doubly-fed induction wind generator
grid side converter
asymmetric fault
double current losed-loop control
neural network self-adaption
