A novel anti-islanding protection method based on the combination of a Q-f droop and RPV

O. Raipala, A. Makinen, S. Repo, P. Jarventausta
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引用次数: 1

Abstract

All distributed generating units need to be equipped with an anti-islanding (AI) protection scheme in order to avoid unintentional islanding. Unfortunately most AI methods fail to detect islanding when the islanded load matches with the production in the island. Another concerning issue is that certain active AI protection schemes may cause power quality problems. This paper proposes an AI protection method which is based on the combination of a specially designed reactive power versus frequency (Q-f) droop, and a constantly injected reactive power variation (RPV) pulse. The method is designed so that the injection of reactive power is of minor scale during normal operating conditions. Yet, the method shows high performance during islanding. Simulations were performed with the help of PSCAD/EMTDC in order to analyze the performance of the method. The results indicate that the method is able to detect islanding within 2 seconds even in a perfectly balanced island.
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一种基于Q-f下垂与RPV相结合的新型防孤岛防护方法
所有分布式发电机组都需要配备防孤岛保护方案,以避免意外孤岛。不幸的是,大多数人工智能方法无法在孤岛负载与孤岛生产相匹配时检测到孤岛。另一个值得关注的问题是,某些主动人工智能保护方案可能会导致电能质量问题。本文提出了一种基于特殊设计的无功功率随频率(Q-f)下垂和持续注入无功功率变化(RPV)脉冲相结合的人工智能保护方法。该方法的设计目的是使在正常运行条件下注入的无功功率规模较小。然而,该方法在孤岛过程中表现出较高的性能。利用PSCAD/EMTDC进行了仿真,分析了该方法的性能。结果表明,即使在完全平衡的孤岛上,该方法也能在2秒内检测到孤岛。
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