基于人工神经网络控制算法的SSSC潮流控制器设计

提出了一种应用神经网络控制策略为静止同步串联补偿器 (SSSC)设计的新型潮流控制器。径向基函数神经网络的理论基础是函数逼近 ,用一个两层的前向网络去逼近任意函数 ,能更好地进行潮流控制。仿真结果表明 ,这种控制器与传统的PI调节控制相比 ,不但能快速调节潮流 ,增加系统阻尼 ,改善系统稳定性 ,并且有较强的适应性、鲁棒性

SSSC POWER FLOW CONTROL BASED ON ARTIFICIAL FUNCTION NEURAL NETWORK

Artificial Neural Network controller is proposed in this paper to design the new power flow control for SSSC. ANN uses a two-level feedforward neural network to realize better power flow control. The simulated results indicate that it not only has the ability to adjust the power flow rapidly, increase the system damp and strength the system stability , also has the stronger adaptability and robust.