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Islanding Detection in a Distribution System with Photovoltaic (PV) System as Distributed Generation

机译:光伏(PV)系统作为分布式发电的配电系统中的孤岛检测

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Objectives: One of the most crucial problems of distributed generation is islanding detection in power system. In this paper, the variation of frequency and THD value of voltage waveform at PCC will be studied for islanding detection diagnosis. Statistical Analysis: Islanding detection methods are classified as local and remote islanding detection. In that local methods are categorized as passive and active methods. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ) whereas remote methods doesn’t contains NDZ but not economically suitable for small networks. The studied system was considered by following the standard IEEE-1547 and UL-1741.This work is performed to determine islanding detection in power system. Findings: Whenever the grid disconnects from the power system there will be variations in frequency and THD value of voltage waveform at PCC. These variations will be taken as reference for islanding detection and generates trip signal for DG. Application/Improvements: This work is used in various power system applications. Simulation results using SIMULINK software on the power shows the effectiveness of proposed method.
机译:目标:分布式发电中最关键的问题之一是电力系统中的孤岛检测。本文将研究PCC上电压波形的频率和THD值的变化,以进行孤岛检测诊断。统计分析:孤岛检测方法分为本地和远程孤岛检测。在这种情况下,本地方法分为被动方法和主动方法。这两种方法基于频率,电压和电流谐波等参数的变化。但是这些方法面临一些挑战,例如电能质量下降和较大的非检测区(NDZ),而远程方法不包含NDZ,但在经济上不适合小型网络。遵循标准IEEE-1547和UL-1741来考虑所研究的系统。此项工作是为了确定电力系统中的孤岛检测。结果:每当电网与电力系统断开连接时,PCC处的电压波形的频率和THD值都会变化。这些变化将作为孤岛检测的参考,并为DG产生跳闸信号。应用程序/改进:这项工作可用于各种电源系统应用程序。在电源上使用SIMULINK软件进行的仿真结果证明了该方法的有效性。

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