基于网络信息的瞬时性故障最佳重合时刻的整定方法及其实时预测

摘要

在支路暂态势能函数的基础上,根据暂态能量在网络中的分布与系统稳定性之间的关系给出了仅依赖于网络局部信息的瞬时性故障的最佳重合时刻的整定方法.仿真结果表明该方法能改善系统暂态稳定水平,有效抑制系统振荡.用自适应滤波的时间序列自回归(AR)模型预测算法对此最佳重合时刻进行实时预测.%Based on the Branch Potential Energy Method(BPEM), the relationship between the distribution of transient energy in network and system stability is analyzed in the paper. Setting method for optimal reclosing time for an instantaneous fault is proposed, which is based on network partial information. The simulation results demonstrate that the method can improve the power system transient stability and damp the system oscillation effectively. At last, the adaptive-filtering time sequence AR prediction algorithm is applied to real-time prediction of the optimal reclosing time.