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Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation

机译:使用轨迹分段线性逼近的电力系统暂态仿真的降阶建模

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摘要

Abstract This paper concerns the application of reduced order modeling techniques to power grid simulation. Swing dynamics is a complex non-linear phenomenon due to which model order reduction of these problems is intricate. A multi point linearization based model reduction technique trajectory piece-wise linearization (TPWL) method is adopted to address the problem of approximating the nonlinear term in swing models. The method combines proper orthogonal decomposition with TPWL in order to build a suitable reduced order model that can accurately predict the swing dynamics. The method consists of two stages, an offline stage where model reduction and selection of linearization points is performed and an online stage where the reduced order multi-point linear simulation is performed. An improvement of the strategy for point selection is also proposed. The TPWL method for a swing dynamics model shows that the method provides accurate reduced order models for non-linear transient problems.
机译:摘要本文涉及降阶建模技术在电网仿真中的应用。摆动动力学是一个复杂的非线性现象,由于这些问题,模型级的降阶是复杂的。采用基于多点线性化的模型归约技术轨迹分段线性化(TPWL)方法来解决挥杆模型中非线性项的逼近问题。该方法将适当的正交分解与TPWL相结合,以建立可以准确预测挥杆动力学的合适降阶模型。该方法包括两个阶段,离线阶段进行模型简化和线性化点选择,在线阶段进行降阶多点线性仿真。还提出了一种点选择策略的改进。摇摆动力学模型的TPWL方法表明,该方法为非线性瞬态问题提供了准确的降阶模型。

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