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Transient energy-based combined fault detector and faulted phase selector for distribution networks with distributed generators

机译:带有分布式发电机的配电网基于暂态能量的组合故障检测器和故障相选择器

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摘要

Selective phase tripping during unbalanced short-circuit fault helps in improving the reliability of the smart distribution systems. Selective phase tripping demands correct identification of faulted phase(s). The existing practices fail to identify the faulted phase(s) correctly in smart grids that include inverter-interfaced distributed generators (DGs), such as wind and solar photovoltaic (PV) DGs. This paper presents a fault-detection and faulted-phase(s)-identification scheme for smart distribution systems installed with both synchronous and PV distributed generators. In this work, the transient energies derived from the superimposed components of the measured voltage and current signals at both ends of a feeder are utilized for accomplishing the fault-detection and faulted-phase(s)-identification task. The performance of the proposed method is evaluated for numerous fault and nonfault cases generated on three different test systems through power system computer aided design/EMTDC at different system operating modes and topologies. Fast response time (less than one cycle), low computational burden, and relatively high accuracy compared to the existing methods justify the efficacy of the proposed approach.
机译:不平衡短路故障期间的选择性相跳闸有助于提高智能配电系统的可靠性。选择性相跳闸要求正确识别故障相。现有实践无法在包括逆变器接口分布式发电机(DG)(例如风能和太阳能光伏(PV)DG)的智能电网中正确识别故障相。本文提出了一种同时安装有同步发电机和光伏分布式发电机的智能配电系统的故障检测和故障相识别方案。在这项工作中,从馈线两端的测得的电压和电流信号的叠加分量中获得的瞬态能量被用于完成故障检测和故障相识别任务。通过在不同的系统操作模式和拓扑下的电力系统计算机辅助设计/ EMTDC,针对在三个不同的测试系统上生成的大量故障和非故障情况,评估了所提出方法的性能。与现有方法相比,快速的响应时间(少于一个周期),较低的计算负担以及相对较高的准确性证明了该方法的有效性。

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