神经网络算法在TCSC中的应用

Neural Network Compensator in TCSC Application

根据典型TCSC的补偿原理和结构提出一种基于线路无功电流控制的补偿方法,即当线路发生变化时,通过TCSC的调节保持其无功电流稳定,从而提高线路的输电能力和运行稳定性。针对TCSC现有控制方法中不能有效处理系统的非线性问题,采用先进的基于DSP处理器的神经网络算法,根据实际误差利用LM算法和DFP算法结合来完成,并给出了可靠的算法流程。

In this paper, based on a typical TCSC in series compensator and the structure of the compensation principle of a line based on the reactive current control, that is, when the line changes, through the TCSC adjustment of reactive power to maintain its current stability, thereby enhancing the capacity and transmission lines to maintain the stability of line, at the same time as a result of the existing TCSC con trol system can not effectively deal with the problem of non -linear, resulting in difficult to control, so the use of advanced DSP- based processor of neural network algorithm, the error in accordance with the actual situation of the use of LM algorithm and DFP algorithm combined to complete the algorithm and the algorithm flow.