不对称故障下基于永磁同步发电机的风电场动态等值方法
A Dynamic Equivalent Method for PMSG Based Wind Farms Under Asymmetrical Faults
AI总结：
本文针对不对称故障下直驱永磁同步风电场，提出一种考虑风速与故障严重程度的三机等值方法，并通过多分段斜率恢复模型和迭代仿真获取聚类指标，在IEEE 39节点系统中验证了其有效性。
摘要：
本文提出了一种适用于不对称故障的三机等值方法，并考虑了运行风速和故障严重程度。首先，基于直驱式永磁同步发电机风力发电机组（PMSG）在有功功率响应特性上的差异，综合考虑风速、故障严重程度和负序控制策略对其进行聚类。进一步，针对每一类PMSG集群分别提出单机等值方法。特别地，对于具有斜坡恢复特性的PMSG，提出了一种多分段斜率恢复的单机等值模型，能够更准确地反映风电场在故障恢复期间的特征。此外，提出了一种迭代仿真方法，用于在故障实际发生前获取所需的聚类指标。因此，所提出的等值方法可用于分析任何预期的事故。最终，在修改后的IEEE 39节点系统上验证了所提方法的有效性。
英文摘要：
In this paper, a three-machine equivalent method applicable to asymmetrical faults is proposed considering the operating wind speed and fault severity. Firstly, direct-driven permanent magnet synchronous generator wind turbines (PMSGs) are clustered based on their different active power response characteristics considering the wind speed, the fault severity, and the negative sequence control strategy. Further, single-machine equivalent methods are proposed for each cluster of PMSGs. In particular, for the PMSGs with ramp recovery characteristics, a single-machine equivalent model with multi-segmented slope recovery is proposed, which can more accurately reflect the characteristics of the wind farm during the fault recovery. Moreover, an iterative simulation method is proposed to obtain the required clustering indicators before the actual occurrence of faults. Therefore, the proposed equivalent method can be used to analyze any anticipated contingency. Eventually, the effectiveness of the proposed method is verified on a modified IEEE 39-bus system.
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