论文标题
处理矢量拟合中的初始条件，以实时建模电源系统动态
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics
论文作者
论文摘要
本文开发了一种预测建模算法，称为实时矢量拟合（RTVF），该算法能够通过理性传递函数矩阵近似多输入多输出（MIMO）动力学的实时线性化动力学。基于众所周知的时域矢量拟合（TDVF）算法的概括，RTVF适用于在线建模动态系统，这些系统在测量的输出信号和同时活跃的输入信号中都经历了初始状态衰减的贡献。这些适应性是专门为满足电力系统社区中目前存在的需求而进行的，在这种需求社区中，低频电力系统动态的实时建模正成为电力系统运营商越来越令人垂涎的工具。在对合成测试用例引入RTVF方案并验证RTVF方案后，本文对IEEE 39-BUS测试系统中高阶闭环发生器系统进行了一系列数值测试。
This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.
