基于主成分的分布式世代被动孤岛检测技术

Harikrishna Muda, P. Jena
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引用次数: 1

摘要

本文提出了一种利用正序电压和电流信号的相位角进行孤岛检测的新方法。为了区分孤岛和非孤岛情况,将旋转电机或基于逆变器的分布式发电终端的相位角作为主分量技术的输入特征向量。主成分的变化在孤岛情况和非孤岛情况下都很突出,如故障类型、负载切换、DG脱扣、电容器切换和馈线断开。利用IEEE 13总线微电网实时数字模拟器的仿真数据,对所提技术的性能进行了评价。在对所提出的技术进行性能评估期间,解决了诸如完美功率匹配孤岛情况,具有同步发电机,BESS, DFIG和PV单元的微电网的不同场景等关键问题。结果表明,该方法能够识别出低有功与无功失配时的孤岛情况,从而克服了无检测区问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Principal component based passive islanding detection technique for distributed generations
This paper presents a new technique for islanding detection using the phase angle between positive-sequence voltage and current signals. In order to discriminate between islanding and non-islanding situations, the phase angle derived at the rotating machine or inverter-based distributed generation terminal is used an input feature vector for the principal component technique. The change in principal components are prominent for both islanding situations and non-islanding situations like the fault type, load switching, DG tripping, capacitor switching and feeder disconnection. The performance of the proposed technique is evaluated using the data simulated with a Real-Time Digital Simulator for IEEE 13-bus microgrids. Critical issues such as a perfect power match islanding situations, different scenarios of microgrids having synchronous generator, BESS, DFIG, and PV units are addressed during performance evaluation of the proposed technique. It is found that, the technique identifies the islanding situations under low active and reactive power mismatches and hence overcomes the non-detection zone problem.
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