Voltage sag Assessment Considering Low Voltage Ride-Through Requirement for Wind Turbines Based on SARFI Index

Sina Shakeri, S. Esmaeili, Mohammad Hossein Rezaeian Koochi
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引用次数: 6

Abstract

This paper defines a system average root mean square variation frequency (SARFI) index based on the area of vulnerability (AOV) and proposes a systematic method for determining accurate AOVs for fault induced voltage sags. The SARFI index specifies the number of voltage sags experiencing at a given area or in a given system per year more severe than the curve limits. The SARFI index is helpful in establishing efficient planning for mitigation of voltage sags. This paper also assesses voltage sags considering low voltage ride-through (LVRT) requirements for wind turbines. The determination of AOVs is very important for assessing voltage sags performance, since voltage sags can be caused by faults occurring in different parts of a power system. In this paper, the procedure of determining AOVs for balanced faults are considered. The proposed methodology is applied on the IEEE 30-bus test system integrated with eight wind turbines.
基于SARFI指数的考虑低电压穿越要求的风电机组电压凹陷评估
本文定义了基于脆弱性面积(AOV)的系统平均均方根变异频率(SARFI)指标,并提出了一种确定故障电压跌落脆弱性面积的系统方法。SARFI指数指定了在给定区域或给定系统中每年经历的比曲线限制更严重的电压下降的数量。SARFI指数有助于建立有效的电压跌落缓解计划。本文还考虑了风电机组的低电压穿越(LVRT)要求,对电压跌落进行了评估。电压跌落的确定对于评估电压跌落性能非常重要,因为电压跌落可能是由电力系统不同部分发生的故障引起的。本文考虑了平衡故障的aov的确定过程。将该方法应用于集成了8台风力发电机的IEEE 30总线测试系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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