论文标题
基于参与因子的自适应模型降低快速动力系统模拟
Participation Factor-Based Adaptive Model Reduction for Fast Power System Simulation
论文作者
论文摘要
本文介绍了一种自适应方法，以减少非线性电源系统模型，以快速准确，瞬态稳定性模拟。它提出了一种分析和排名每个系统状态变量参与因子的方法，并被干扰激发的主导系统模式，以确定可以减少哪些区域或发电机的方法，而不会影响研究区域的模拟准确性。在这种方法中，位于外部区域中具有较大参与因子的发电机模型是非线性减少的，其余的发电机将线性化。模拟结果证实，通过参与因子对发电机和系统模式之间的相互作用水平的评估有效提高电源系统模型的准确性和速度。所提出的方法应用于具有48个机器，140个布斯电源系统模型的东北电力协调委员会区域系统，并将结果与两个案例进行了比较，包括使用转子角度偏差标准进行完全线性化的模型降低和模型降低。
This paper describes an adaptive method to reduce a nonlinear power system model for fast and accurate transient stability simulation. It presents an approach to analyze and rank participation factors of each system state variable into dominant system modes excited by a disturbance so as to determine which regions or generators can be reduced without impacting the accuracy of simulation for a study area. In this approach, the generator models located in an external area with large participation factors are nonlinearly reduced and the rest of the generators will be linearized. The simulation results confirm that the assessment of the level of interaction between generators and system modes by participation factors is effective in enhancing the accuracy and speed of power system models. The proposed method is applied to the Northeastern Power Coordinating Council region system with 48-machine, 140-bus power system model and the results are compared with two cases including fully linearized model reduction and model reduction using the rotor angle deviation criteria.
