高压电器2011，Vol.47Issue(5)：43-48,6.
基于模糊神经网络计算VFTO作用下的过电压分布
Overvoltage Distribution Calculation under VFTO Based on Fuzzy Neural Network
摘要
Abstract
To investigate the effect of transformer windings under VFTO, a new transient modeling algorithm is proposed in this paper. Firstly it is assumed that no frequency-dependent impedance in transmission line, fuzzy neural network is used to compute distributed parameters of large transformer windings. Secondly in the case of easily destroyed former several windings, each is modeled as one unit, others are modeled with two windings as one unit, a transient modeling algorithm based on Finite Difference Time Domain (FDTD) method is put forward. When frequency-changing effect is obvious, Vector Fitting method is adopted to deal with frequency-dependent parameters by expanding time-domain form of internal impedance into a sum of finite exponential functions, which is easy for time-domain convolution, so a transient modehng algorithm considering frequency-dependent parameters is presented. Lastly through simulation illustrations validate effectiveness and feasibility of the presented algorithms.关键词
模糊神经网络/特快速暂态过电压/矢量匹配法/时域有限差分法/过电压计算Key words
fuzzy neural network/ very fast transient overvoltage/ vector fitting method/finite different time domainmethod/ overvoltage calculation分类
信息技术与安全科学引用本文复制引用
张萍,汪友华,江春冬,张文峰,张海蛟..基于模糊神经网络计算VFTO作用下的过电压分布[J].高压电器,2011,47(5):43-48,6.基金项目
河北省自然科学基金项目(E200900068). （E200900068）
