智能电网中使用状态观测器和物联网基础设施的高速孤岛检测

In this study, we introduce an innovative islanding detection scheme for grid-connected distribution networks utilizing a Discrete Ensemble Kalman Filter (DEKF) in conjunction with Internet of Things (IoT) devices for real-time monitoring and communication. Voltage signals from the point of common coupling (PCC) are acquired via IoT devices using the Message Queuing Telemetry Transport (MQTT) protocol. The DEKF accurately estimates PCC voltage states under various conditions, while IoT integration ensures continuous data acquisition and swift communication with the monitoring system. Residuals, computed as the difference between measured and estimated signals, serve as reliable indicators for islanding detection. Simulations in MATLAB Simulink demonstrate a detection accuracy of 99.5% with a response time under 1.5 milliseconds. The scheme proves robust against non-islanding events, offering a dependable and efficient solution for smart grid protection with minimal computational overhead.