配电网故障暂态信号的逼近处理方法

针对一些需尽快计算故障后稳态电流电压值的应用情况，如配网配变支路保护、用户侧保护等，短时间内处理电流电压故障暂态信号成为了一个必须面对的问题。现有电网故障信号处理方法通常受限于采样数据长度和待求参数数量，存在处理电流电压故障暂态信号时间较长和难求取的问题。利用配网故障暂态电压电流的特点，由稳态工频分量和直流衰减分量组合建模近似表征配网故障暂态电压电流，采用粒子群高斯牛顿混合算法对此模型的各参数进行辨识，实现暂态参数的求取。仿真分析和工程应用表明，该方法可缩减待求参数个数，利用较短的采样数据对故障暂态电压电流信号参数进行求取，且具有较高鲁棒性。

An algorithm for calculating transient-state signal parameter of distribution network

For some applications such as variable branch protection and user-side protection in distribution network that need to calculate the steady-state current and voltage values as soon as possible, how to deal with current and voltage transient fault signal in a short period of time has become a problem that we face. The existing power grid fault signal processing methods are usually limited in the length of sampling data and the quantity of parameters with the result that the count of current and voltage fault transient signal is hard and takes a long time. This article was based on the characteristics of fault transient voltage and current in distribution network, and established a model including stable-state power frequency component and decaying DC component to approximately characterize distribution network fault transient voltage and current. The particle swarm-Gauss Newton hybrid algorithm was used to identify the parameters of this model and the transient parameters were obtained. The simulation analysis and engineering application have proved that it has a better approximate effect and robustness than former algorithms.