智能型自适应单相重合闸的应用研究

根据自适应单相重合闸的电压判据在判别瞬时性故障与永久性故障时存在的缺陷，提出了智能型自适应单相重合闸方案，将人工神经网络用于其中，建立了一个3层前向网络模型。利用EMTP及MATLAB进行了大量的仿真实验，验证了其无论在长线路还是短线路的故障区分中都具有良好的可行性，克服了传统判据的缺陷。同时还提出了基于模糊神经网络的自适应单相重合闸方案，作为下一步的研究方向。

STUDY ON ADAPTIVE SINGLE-PHASE RECLOSURE BASED ON INTELLIGENT CONTROL

According to the defect of voltage criteria of self- adaptive single- phase reclosure in distiguishing instantaneous fault from permanent fault,an adaptive single- phase reclosure schem e based on intelligent control is presented.An artificial neural network based m ethod has been put forward and a three- layer feed- forward neural network m odel was presented.Moreover, a lot of simulating calculation has been done using EMTP and MATL AB. The results of the model test show that this m ethod can be used to the long transmission lines or short lines and can overcome the defect of traditional criteria.Another adaptive single- phase reclosure method based on fuzzy neural network will be carried on.