一种改进的多逆变电源系统有源孤岛检测技术

Q1 Engineering
Zhang Jie, Yuhua Cheng, Kai Chen, Gen Qiu
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引用次数: 0

摘要

由于多逆变器分布式发电系统(dg)的普及,不同的dg技术、逆变器控制方法和其他逆变器功能对孤岛检测能力提出了挑战。此外,连接配电系统共耦合点(PCC)的多逆变器网络在并联逆变器处造成孤岛,增加了孤岛检测的脆弱性。此外,在减少功率失配的情况下,可用的孤岛检测必须克服更多来自非检测区(NDZs)的挑战。因此,本研究采用一种新的参数自适应主动孤岛检测方法来减小多逆变器电力系统的稀释效应,减少无检测区。该方法采用有源频率漂移(AFD)方法,并采用参数自适应的正反馈增益,显著降低了并联逆变器的ndz。仿真和实验结果表明,该方法可以有效地减弱配电系统PCC连接的多逆变器网络中的稀释效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Active Islanding Detection Technique for Multi-Inverter Power System
Due to the increased penetration of multi-inverter distributed generation systems (DGs), different DGs technologies, inverter control methods, and other inverter functions are challenging the capabilities of islanding detection. In addition, multi-inverter networks connecting the distribution system point of common coupling (PCC) create islanding at paralleling inverters, which adds on to the vulnerability of islanding detection. Furthermore, available islanding detection must overcome more challenges from non-detection zones (NDZs) under reduced power mismatches. Therefore, in this study, a new method called parameter self-adapting active islanding detection was utilized to minimize the dilution effect and reduce the non-detecting zones in multi-inverter power systems. The method utilizes an active frequency drift (AFD) method and applies a positive feedback gain of parameter adaptive, which significantly minimizes the NDZs at parallel inverters. The simulation and experimental outcomes indicate that the proposed method can effectively weaken the dilution effect in multi-inverter networks connecting the distribution system PCC.
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来源期刊
Journal of Electronic Science and Technology
Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
0.00%
发文量
1362
审稿时长
99 days
期刊介绍: JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.
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