Islanding Detection in Electric Distribution Circuits using Multiple-Model Filters in the Presence of Multiple PV Inverters
Islanding Detection in Electric Distribution Circuits using Multiple-Model Filters in the Presence of Multiple PV Inverters
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在存在多个光伏逆变器的情况下使用多模型滤波器进行配电电路中的孤岛检测
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
N. Wu
中科院分区：
文献类型：
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作者：
M. Salman;N. Wu
提出了一种基于多模型滤波的无源逆变器孤岛检测方法。孤岛是指配电电路的一部分通过开关与电网断开，以保护免受故障影响，而断开的电路仍由有源电源供电，包括太阳能PVI。基于MMF的孤岛检测的目的是及时通知电表后面的并网PVI是使自己离线还是以最少的通信保持并网。检测滤波器的基础上建立的所有预期的电路模型对应的开关状态可观察的PVI，和一个加权的本地测量残差被用来获得模型概率。采用自协方差最小二乘法估计每个滤波器设计模型的过程和测量噪声协方差矩阵。详细描述了改进的Roy Billinton测试系统（RBTS）的两种情况：i）多个PVI位于沿着同一径向电路（馈线），以及ii）多个PVI位于不同馈线。PVI之间的最低通信要求被确定为成功的孤岛检测。
A passive, inverter-centric method for islanding detection using multiple-model filtering (MMF) is presented in the presence of multiple photovoltaic inverters (PVIs). Islanding is the situation that parts of power distribution circuits are disconnected from the grid by switches for protection from the effects of faults while the disconnected circuits are still being energized by active sources, including solar PVIs. The purpose of the MMF- based islanding detection is to timely inform a behind-the-meter grid-connected PVI whether to trip itself offline or to stay grid-connected with minimum communications. Detection filters are built based on all anticipated circuit models corresponding to switch states observable by the PVI, and a weighted local measurement residuals is used to obtain model probabilities. An autocovariance least-squares method is adopted to estimate the process and measurement noise covariance matrices of each filter design model. Two scenarios are detailed for a modified Roy Billinton Test System (RBTS): i) multiple PVIs are located along the same radial circuit (feeder), and ii) multiple PVIs are located at different feeders. The minimum communication requirements among the PVIs are determined for successful islanding detection.