摘要
建立了光伏阵列数学模型,因光伏阵列输出具有强非线性且受环境影响很大,环境变化带来的输出波动会使控制周期延长,收敛速度变慢,影响控制效果。结合传统PID的控制特点设计了改进的单神经元控制器模块,利用单神经元自学习等特点与对PID的改进环节,搭建并网系统,在仿真中得到了良好的并网电压、电流曲线,加入阶跃扰动的控制响应曲线优于传统PID,证明此方法有效。
Establishment of mathematical model of a PV array, For the photovoltaic array＇ s output with strong nonlinearity and environmental impact characteristics, combined with traditional control features make the im- proved single neuron PID controller module. By using the single neuron＇ s self-learning characteristics and the improvement of PID, build a grid-connected system, Simulation curves has been good in connected to voltage and current. The Joined step disturbance control response curve is better than traditional PID. Things above prove that this method works
出处
《东北电力大学学报》
2013年第1期99-102,共4页
Journal of Northeast Electric Power University
关键词
单神经元
改进
PID
光伏
Singleneuron
Improve
PID
Photovoltaic
