A Trajectory Piecewise-Linear Approach to Nonlinear Model Order Reduction of Wind Farms
A Trajectory Piecewise-Linear Approach to Nonlinear Model Order Reduction of Wind Farms
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DOI：
10.1109/tste.2019.2912037
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发表时间：
2020-04-01
影响因子：
8.8
通讯作者：
Vershinin, Konstantin
中科院分区：
文献类型：
--
作者：
Ali, Husni Rois;Kunjumuhammed, Linash P.;Vershinin, Konstantin
本文提出了一种适用于大扰动仿真的高效风电场动态模型的建立方法。该方法基于轨迹分段线性逼近，利用单个和多个训练轨迹建立非线性降阶模型。通过对一个小型示范风电场系统和一个大型实际风电场系统的仿真，验证了该模型在捕获风电场在大扰动下的动态行为方面的有效性。
This paper presents a method to develop computationally efficient dynamic model of a wind farm suitable for large disturbance simulation. The method based on a trajectory piecewise linear approximation uses single and multiple training trajectory to develop a nonlinear reduced order model. Simulation results using a small demonstration wind farm system and a large practical wind farm system are discussed to demonstrate the effectiveness of the model in capturing dynamic behavior of wind farm following large disturbances.