可控串补神经内模控制系统设计

Design of Neural Network Internal Model Controller

可控串补(TCSC)是一种重要的柔性交流输电系统(FACTS)控制装置。其建模及相应的控制策略是当今国内外重要的研究课题。通过神经网络系统辨识设计了一个TCSC神经内模控制系统。仿真表明:该控制器不但能快速调节容抗、改善系统的稳定性,并且有较强的自适应性和鲁棒性。

TCSC is one of important power semiconductor device for FACTS. The model architecture and control strategy are studied by many experts. In this paper, a neural network （NN） internal model controller （ IMC ） for TCSC is presented combining an artificial NN approach for parameter identification with IMC. Simulations have proved that controller can not only regulate immediately the impedance of the transmission line, increase the damping of the power system, improve the stability, but also has good adaptability and robustness.